Load Settlement System. Procedures and Methods

Size: px
Start display at page:

Download "Load Settlement System. Procedures and Methods"

Transcription

1 Procedures and Methods Effectve January 01

2 TABLE OF CONTENTS 1. NTRODUCTON STE TO SETTLEMENT ZONE MAPPNG.... LOAD PROFLNG... LOAD RESEARCH SAMPLES... SAMPLNG ACCURACY REQUREMENTS... HSTORC CLASS LOAD PROFLES... LOAD PROFLNG METHOD... MODELNG ACCURACY REQUREMENT... DEEMED LOAD PROFLES... PROFLNG CAP.... DSTRBUTON LOSSES AND UFE... HSTORC LOSS STUDES... SERVCE LEVEL... CALCULATON OF TOTAL SYSTEM LOSSES... ALLOCATON OF TOTAL SYSTEM LOSSES... UNACCOUNTED FOR ENERGY OTHER DSCRETONARY MATTERS... 1 ESTMATON OF CONSUMPTON AMOUNTS... 1 DEEMED TMES... 1 MPLEMENTATON ASSUMPTONS... 1 POST FNAL ADJUSTMENT MECHANSM (PFAM) PROCESSNG... 1 CUMULATVE METERNG VALDATON TEST PARAMETERS... 1 APPENDX A CALCULATON OF HOURLY ENERGY CONSUMPTON, LOSS AND UFE 1 CUMULATVE METERED AND UNMETERED STES... 1 NTERVAL METERED STES... 1 APPENDX B DEVELOPMENT OF THE SYSTEM LOSS EQUATON... 1 ATCO Electrc January 01

3 . NTRODUCTON ATCO Electrc s s degned to meet the requrements of Alberta Utltes Commson (AUC) Rule 01 Settlement System Code Rules (SSC). The SSC s a set of rules establshed by the AUC under the authorty of secton.1(1) of the Electrc Utltes Act. All Market Partcpants as defned n the Electrc Utltes Act are requred to comply wth the SSC. ATCO Electrc has been allowed dscreton n mplementng some aspects of the SSC. Under secton. of the SSC, ATCO Electrc, as Load Settlement Agent (LSA), s responble for makng publc on ts webte the procedures and methods used to conduct settlement. The dscretonary procedures and methods mplemented by ATCO Electrc that mpact load settlement calculatons are descrbed n ths document. Two appendces are also ncluded as part of ths document. n Appendx A, a method s provded for determnng hourly customer te energy consumpton, loss and unaccounted for energy (UFE) from the SSC transacton set. Appendx B provdes background nformaton wth respect to the calculaton of the system loss equaton parameters. Questons wth respect to ATCO Electrc load settlement may be emaled to settlement@atcoelectrc.com. ATCO Electrc 1 January 01

4 . STE TO SETTLEMENT ZONE MAPPNG 1 Secton. ) of the SSC requres ATCO Electrc as LSA to dsclose ndvdual te to settlement zone mappng rules. ATCO Electrc asgns every te for whch t s the LSA and all ts servce terrtory to a ngle settlement zone.. LOAD PROFLNG Secton.1 1) of the SSC defnes the acceptable methods for calculatng load profles. The ATCO Electrc load settlement system uses only load research-based profles or deemed profles. All customer tes whch are not nterval metered are asgned a specfc class load profle based on ther dstrbuton tarff rate class. Each te s asgned a profle class code. Specfc codes have been asgned to nterval metered tes to ndcate such. All other codes are asgned accordng to rate class. The table below lsts the rate classes wth ther assocated profle class codes. 1 Non-nterval Metered Profle Classes Rate Class Profle Class Code Redental RES Farm FRM Small General Servce COM rrgaton RR Street and Prvate Lghtng LTE Olfeld OL Large General Servce / ndustral ND 1 nterval Metered Profle Classes Customer Ste Sze Profle Class Code Stes MW NPD Stes 00 kw and < MW NTV Customer requested NTV ATCO Electrc January 01

5 1 Secton. 1) of the SSC requres ATCO Electrc, as LSA, to state publcly the exstng rate classes for whch separate load research-based profles are used n load settlement. The profles for the redental, farm, small general servce and large general servce/ndustral rate classes are load researchbased profles. Deemed profles are used for the olfeld, lghtng and rrgaton classes. The use of class specfc load profles for calculatng monthly pool payments ensures that the energy costs are allocated to each class as farly as posble. However, the cost of such an mplementaton needs to be balanced aganst the degree for farness acheved. The cost/beneft was maxmzed by combnng other load research needs wth that of load settlement so as to provde the same degree of farness to the customer as they prevously had. Load Research Samples Secton of the SSC defnes the standards for load profles based on load research samples. For detals on the requrements for estmaton accuracy, frame adequacy, and sample degn and mplementaton please refer to Secton of the SSC. The class load profles used by ATCO Electrc for load settlement are based on hstorc load surveys. ATCO Electrc uses the method of stratfed random samplng for the selecton of samples to represent each class. Ths method s commonly used to ensure the most accurate results for a gven sample ze. A load profle for each class s developed from metered data collected from the selected tes ung the combned rato estmaton technque. The value of the load profle for each hour s the energy (kw.h) used n that hour by the average customer te n the class. Samplng Accuracy Requrements Secton.. ) of the SSC requres the degn samplng varance V cs to meet the followng crteron: RSE cs V cm U c 0.00 Hstorc Class Load Profles 0 The hstorcal profles used n load settlement are posted on ATCO Electrc s web te and can be accessed at ATCO Electrc January 01

6 Load Proflng Method For load research-based profles, ATCO Electrc uses a proflng method known as proxy day for estmatng class load profles. The proxy day method compares the avalable characterstcs of the settlement day to the characterstcs of hstorc days. The hstorc day that best matches the settlement day s used as the proxy day. The hstorcal class profle for that day s then used as the class profle for the settlement day. Ths process s repeated every day to produce a class load profle for the settlement perod. The proxy day method requres a lbrary of class load profles for hstorc days as well as assocated characterstcs for selectng the proxy day. These profles are developed from the hstorc load studes descrbed above. The system load profle s a commonly used assocated characterstc. The system load profle (DSLS) s defned as the energy delvered to the settlement zone less the energy delvered to all transmson-connected tes. Other characterstcs that may be used nclude day type, season, temperature and tme of the system peak. The proxy day selecton process used by ATCO Electrc s provded by LODESTAR Corporaton. LODESTAR uses a two step process to fnd a proxy day. The frst step uses nformaton about settlement day to select a lst of matchng elgble days. The nformaton used to select the elgble days may nclude a combnaton of the followng characterstcs: Day type Holday Season System Peak Tme Ambent Temperature These parameters may be vared for each profle class to ensure the elgble days selected best represent the characterstcs of the class. Once a lst of matchng elgble days has been selected, the lst s ranked by comparng the system load profle for the settlement day to that of each elgble day. Rankng may be done ung a magntude comparson or a shape comparson. The two methods may also be combned by selectng a weghtng factor for each comparson and summng the weghted values. The elgble day wth the hghest rank s then selected as the proxy day. ATCO Electrc January 01

7 Once the proxy day selected, the date of the proxy day s used to select the load profle for the class from the lbrary of hstorc class load profles. Modelng Accuracy Requrement Secton.. ) of the SSC requres the modelng varance V cm to satsfy the followng crteron RSE cm V cm U c For detals regardng ths crteron see the secton of the SSC. To select the parameters that meet the above crteron for each profle class, ATCO Electrc has analyzed load profle data for the hstorcal perod ndcated n the table below. Ung the methods descrbed n secton of the SSC, ATCO Electrc has determned that the SSC requrements can be met ung the followng parameters. Redental Farm Small Olfeld ndustral General Servce Hstorcal Perod System Load Profle scaled DSLS scaled DSLS DSLS DSLS scaled DSLS Day Type Day of Week Day of Week None Week Day/ None Weekend Holday No No Yes Yes Yes Season Seasons Seasons Monthly Seasons Monthly Peak Separaton All Peaks All Peaks All peaks All Peaks All Peaks Magntude Weght Shape Weght Acheved RSE cm Deemed Load Profles Secton.1 ) of the SSC requres rrgaton, olfeld and unmetered loads to be profled ung a deemed shape. ATCO Electrc deems the olfeld load shape to be the one determned from load research samples. The rrgaton load profle s deemed to be flat n the months of Aprl through October. The value of the profle for each hour s the average hourly energy (kw.h) used by an rrgaton customer te n the perod Aprl through October. The value of the lghtng load profle for each hour s a number between 0 and 1 that represents the proporton of the hour that the lghts are on. The deemed load shape for all other unmetered loads s the load shape of the profle class to whch the customer te belongs. ATCO Electrc January 01

8 The deemed load profles used n load settlement are posted on ATCO Electrc s web te. Proflng Cap Secton. 1) of the SSC requres a proflng cap of MW or the WSP s current polcy, whchever s lower. ATCO Electrc s proflng cap s 00 kw constent wth currently approved rate schedules. nterval metered customer tes that are below the proflng cap and are not a part of a profle class load research sample wll be settled accordng to ther own nterval data. ATCO Electrc January 01

9 . DSTRBUTON LOSSES AND UFE 1 Secton.1 ) of the SSC requres ATCO Electrc, as a Wres Servce Provder (WSP), to provde 0 days notce pror to mplementng changes to load settlement loss calculatons. Ths document descrbes the procedures ATCO Electrc wll use to perform load settlement loss calculatons on and after the effectve date of ths document. Background nformaton as to how the parameters used n these procedures were derved s also provded. Hstorc Loss Studes Secton.1 1) of the SSC requres the WSPs that have been dong loss calculatons as part of cost-of-servce studes to contnue to use mlar methods to those they have been ung. The parameters used n the loss calculaton procedures descrbed below come from two sources: prevous load settlement calculatons and dstrbuton loss studes of randomly selected dstrbuton feeders. Annual dstrbuton losses were determned from total annual energy delvered to the settlement zone less the total annual te energy consumpton. The source of ths nformaton s 00 through 0 load settlement results adjusted for PFAMs applcable to the same perod. The average annual dstrbuton system losses (.% of total annual te energy consumpton) calculated from these results form the bas for determnng the requred loss calculaton parameters. The separaton of total dstrbuton losses nto prmary and secondary dstrbuton losses for each loss group s based on the results of studes ATCO Electrc conducted on randomly selected dstrbuton feeder systems. nformaton on feeder loadng, confguraton, phycal characterstcs and the customer mx served from the feeders are used to determne the dstrbuton system losses for each loss group. Servce Level 0 1 For the purpose of performng loss calculatons the ATCO Electrc dstrbuton system has been separated nto prmary and secondary dstrbuton systems. Prmary dstrbuton consts of all -phase kv lnes. There are no transformers n the prmary dstrbuton system. Secondary dstrbuton ncludes all elements of the dstrbuton system that are not part of the prmary dstrbuton system. ATCO Electrc January 01

10 A servce level attrbute s asgned to each te based on whether the te takes servce drectly from the transmson system, from the prmary dstrbuton system or from the secondary dstrbuton system. Stes connected to the secondary dstrbuton system have a secondary servce level. Stes connected to the prmary dstrbuton system have a prmary servce level. Stes that are connected to the transmson system have a transmson servce level. Calculaton of Total System Losses Secton. 1) of the SSC asgns to ATCO Electrc as LSA the responblty for calculatng dstrbuton losses for each settlement nterval. Secton.. ) of the SSC requres the zone losses to be the sum of the separately determned retaler losses or to be calculated frst and then allocated to the retalers. For each settlement nterval ATCO Electrc calculates the total dstrbuton losses for each servce level and allocates these losses to retalers. The losses are calculated by applyng a loss equaton to the hourly load for the dstrbuton system. The prmary dstrbuton energy loss for each hour s calculated as follows: PL A A D P0 P Where PL s the loss (kw.h) wthn the prmary dstrbuton system n hour D s the total energy delvered (kw.h) to the dstrbuton system n hour (does not nclude transmson-connected tes) A P0 and A P are loss equaton parameters of the prmary dstrbuton system As there are no transformers n the prmary dstrbuton system, the constant loss coeffcent A P0 s zero. The value of the A P coeffcent for the 01 settlement year s determned as follows (see Appendx B): A p ke (0.011)(0) (1.000)(01) p P where p p s the rato of the total annual prmary energy loss to the total annual energy delvered to the dstrbuton system from hstorcal studes s the number of hours n the year k s the constant determned from the dstrbuton system load shapes for 00 to 0 E s the forecast energy delvered to the dstrbuton system for 01 (kw.h) ATCO Electrc January 01

11 Thus for each hour the total energy loss for ATCO Electrc s prmary dstrbuton system s calculated by multplyng the A P coeffcent by the square of the hourly energy delvered to the dstrbuton system. The secondary dstrbuton energy loss for each hour s calculated as follows: SL A A D S 0 S Where SL s the loss (kw.h) wthn the secondary dstrbuton system n hour D s the total energy delvered (kw.h) to the dstrbuton system n hour (does not nclude transmson-connected tes) A S0 and A S are loss equaton parameters of the secondary dstrbuton system The values of the A S0 and A S coeffcents for the 01 settlement year are determned as follows (see Appendx B): A A c p E (0.0)(0.01)(01) 0 s s S 0 ps(1 c ke ) (0.01)(0)(1 0.0) (1.000)(01) s S where p s s the rato of the total annual secondary energy loss to the total annual energy delvered to the dstrbuton system from hstorcal studes s the number of hours n the year c s s the rato of the annual constant loss to the total annual loss n the secondary dstrbuton system k s the constant determned from the dstrbuton system load shape for 00 to 0 E s the forecast energy delvered to the dstrbuton system for 01 (kw.h) For each hour the total energy loss for ATCO Electrc s secondary dstrbuton system s calculated by multplyng A S by the square of the hourly energy delvered to the dstrbuton system and addng A S0. Allocaton of Total System Losses 0 Secton. 1) of the SSC asgns to ATCO Electrc as LSA the responblty for establshng the formulas for allocatng dstrbuton losses for each nterval to the customer tes. ATCO Electrc allocates dstrbuton system losses by loss group whch s comprsed of servce level and loss class. The secondary dstrbuton loss allocated to each te by hour s calculated ung the followng equatons: ATCO Electrc January 01

12 SL SF SA E s SF ss SL SA E s Where SL s the secondary loss (kw.h) allocated to te s n hour SF s the factor that ensures all secondary loss for hour s allocated SA s s the secondary loss allocaton factor (see table below) for the loss group to whch te s belongs E s the energy consumpton (kw.h) for te s n hour SL s the total secondary loss (kw.h) n hour S s the set of all energzed tes s n hour The prmary dstrbuton loss allocated to each te by hour s calculated ung the followng equatons: PL PF PA s ( E SL ) PF ss PL PAs ( E SL) Where PL s the prmary loss (kw.h) allocated to te s n hour PF s the factor that ensures all prmary loss for hour s allocated PA s s the prmary loss allocaton factor (see table below) for the loss group to whch te s belongs E s the energy consumpton (kw.h) allocated to te s n hour PL s the total prmay loss (kw.h) n hour S s the set of all energzed tes s n hour The loss allocaton factors used were developed from an analys of hstorc load profle data and dstrbuton loss studes. For the years 00 through 00 the dstrbuton system losses were modeled ung the load profle of the energy delvered to the dstrbuton system as well as load profles, annual energy consumpton, and annual energy losses for each loss group. The loss group load profles were developed from the hourly loads of sample tes. The annual energy consumpton was calculated from te meterng. The annual energy losses are calculated from hstorc loss studes. The followng procedure was used to develop the loss allocaton factors for the prmary and secondary dstrbuton systems separately. Total loss profles for each year were estmated ung a load/loss relatonshp of the form descrbed above. Next, ntal loss allocaton factors for each loss group were calculated by dvdng the annual energy losses by the annual energy consumpton for each loss group. An teratve process was then used to refne the loss allocaton factors. The frst step consted of scalng the load profle for each loss group to the group annual energy loss ung the estmated loss allocaton factors. n the second step the resultng group loss profle was adjusted for each hour so that the sum of losses for all the loss ATCO Electrc January 01

13 1 groups was equal to the total loss profle. Because ths hourly adjustment changed the shape of the group loss profles the loss allocaton factors were readjusted. Ths teratve process was repeated and the loss allocaton factors refned untl the dfference between the total loss profle energy and the annual energy loss for each loss group was less than 0.%. The loss allocaton factors for each loss group determned for each year were averaged to arrve at the loss allocaton factors reported below. Loss Group Loss Group Code Secondary Loss Allocaton Factor (SA s ) Prmary Loss Allocaton Factor (PA s ) Loss Class Servce Level Redental Secondary RESSECN Redental Prmary RESPRM Redental Transmson RESTRAN 0 0 REA and Co Farm Secondary FRMSECN REA and Co Farm Prmary FRMPRM REA and Co Farm Transmson FRMTRAN 0 0 Small General Servce Secondary COMSECN Small General Servce Prmary COMPRM Small General Servce Transmson COMTRAN 0 0 rrgaton Secondary RRSECN rrgaton Prmary RRPRM rrgaton Transmson RRTRAN 0 0 Street Lghtng Secondary STLSSECN Street Lghtng Prmary STLSPRM Street Lghtng Transmson STLSTRAN 0 0 Prvate Lghtng Secondary SENTSECN Prvate Lghtng Prmary SENTPRM Prvate Lghtng Transmson SENTTRAN 0 0 Olfeld Secondary OLSECN Olfeld Prmary OLPRM Olfeld Transmson OLTRAN 0 0 ndustral < MW Secondary NDSECN ndustral < MW Prmary NDPRM ndustral < MW Transmson NDTRAN 0 0 ndustral > MW Secondary NPDSECN ndustral > MW Prmary NPDPRM ndustral > MW Transmson NPDTRAN 0 0 The target annual energy loss expressed as a percentage of annual energy consumpton for the loss group to whch customer te s belongs can be calculated as follows: Ps 0 PAs SAs ( PAs SAs ) ATCO Electrc January 01

14 Where P s PA s SA s s the percentage annual energy loss for the loss group to whch te s belongs s the prmary loss allocaton factor for the loss group to whch te s belongs s the secondary loss allocaton factor for the loss group to whch te s belongs Unaccounted For Energy 1 Secton..1 of the SSC requres that the UFE calculated for each hour be allocated to the customer tes of all retalers n proporton to ther settled load and allocated losses. Transmson-connected customer tes blled ung the same nterval metered data as s used n the calculaton of POD load are exempt from ths calculaton. ATCO Electrc allocates UFE for each hour n proporton to the energy consumpton and assocated losses for that hour. The followng formula s used for ths purpose: 1 U UF W ( E PL SL ) UF ss W U ( E PL SL) Where U s the UFE (kw.h) allocated to te s n hour UF s the factor that ensures all UFE for hour s allocated E s the energy consumpton (kw.h) for te s n hour PL s the prmary loss (kw.h) allocated to te s n hour SL s the secondary loss (kw.h) allocated to te s n hour U s the total UFE (kw.h) n hour W s 0 for UFE exempt tes n hour and 1 for all other tes n hour S s the set of all energzed tes s n hour ATCO Electrc 1 January 01

15 . OTHER DSCRETONARY MATTERS Estmaton of Consumpton Amounts 1 Secton. ) of the SSC asgns to ATCO Electrc, as LSA, the responblty of estmatng cumulatve consumpton amounts where consumpton calculated from meter readngs s not yet avalable. For daly, monthly, nterm and fnal settlement these estmates are based on customer rate class profles and energy consumpton from the most recent perod for whch energy consumpton between actual reads s avalable as follows: E E DCM m P P c c Where E s the energy consumpton (kw.h) estmated for te s n hour P c s the average te energy (kw.h) for profle class c n hour E DCM s the energy consumpton (kw.h) for te s from the most recent DCM coverng readng perod m that ends pror to the profle freeze date. Deemed Tmes Secton.1 of the SSC allows ATCO Electrc, as WSP, to defne an assumed tme of day for the readng of cumulatve meters as well as for energze and de-energze events. For the purpose of performng load settlement, ATCO Electrc deems these events to have taken place at the end of the day durng whch they were actually performed. mplementaton Assumptons Secton. 1) of the SSC specfes assumptons under whch the calculaton formulas of secton. have been developed. These assumptons are that energzaton, de-energzaton and profle class changes for a customer te wll always be accompaned wth a meter read on the same day and that swtch of retaler wll not necessarly be accompaned by a meter read. ATCO Electrc has mplemented the settlement calculatons constent wth these assumptons. Post Fnal Adjustment Mechansm (PFAM) Procesng Secton.. (1) (c) of the SSC requres LSAs to dentfy ther PFAM processes and tme lnes. These are descrbed n the followng paragraphs. ATCO Electrc 1 January 01

16 Followng the fnal settlement run each month, an automated process dentfes changes to cumulatve consumpton te data nce the prevous fnal settlement run affectng perods already fnal settled and produces the requred RSA transactons. These transactons are revewed and submtted by the end of the th buness day of the followng month (see SSC Secton.. (1)). All other changes to data between the same two fnal settlement runs affectng perods already fnal settled are dentfed manually. The requred RSA and/or TAA transactons are manually prepared and submtted at the same tme as the RSA transactons produced by the automated process. The followng procedures are used n the producton of RSA transactons: The fnal settled hourly energy consumpton, loss and UFE for a te s determned ung the SSC transacton set as descrbed n Appendx A. Corrected hourly energy consumpton for tes settled ung cumulatve consumpton s determned as descrbed n SSC Secton.. (1). Corrected hourly loss and UFE are determned as follows: L' U ' E' E E' E L U Where L s the corrected energy loss (kw.h) for te s n hour L s the fnal settled energy loss (kw.h) for te s n hour U s the corrected UFE (kw.h) for te s n hour U s the fnal settled UFE (kw.h) for te s n hour E s the corrected energy consumpton (kw.h) for te s n hour E s the fnal settled energy consumpton (kw.h) for te s n hour Daly profles are used n producng the RSA transacton set only n the case where fnal profles are not avalable. The use of daly profles n such cases allows RSA transactons to be ssued one month earler wth very lttle mpact on the result. Secton.. (1) (c) of the SSC requres partes to wthhold submttng a PFAM Applcaton Form after dentfyng an error untl the LSA s able to process the RSA transacton set as per the LSA s processes and tmelnes. For ATCO Electrc ths wthholdng perod s calendar days. Ths allows for the maxmum number of days between fnal settlement runs and the maxmum number of days between the last fnal settlement run and date the RSA and/or TAA transactons must be submtted. ATCO Electrc 1 January 01

17 Cumulatve Meterng Valdaton Test Parameters 1 Secton...1 of the SSC requres MDMs to make avalable to the market the hgh and low lmts for usage and demand n ther cumulatve meterng valdaton tests. For ths nformaton please refer to the AUC Rule 00 Alberta Tarff Bllng Code Rules, secton A1.. ATCO Electrc 1 January 01

18 APPENDX A CALCULATON OF HOURLY ENERGY CONSUMPTON, LOSS AND UFE 1 1 n ths appendx, a method s provded for determnng hourly customer te energy consumpton, loss and UFE from the SSC transacton set. n the followng: The WC, WSD and SP transactons used must be from the same settlement run. Cumulatve meter reads, energzaton, de-energzaton, profle class changes and retaler swtches are all deemed to occur on daly boundares. Ste s s a member of profle class c as well as loss group g and s enrolled to retaler r on day d whch s n meter readng perod m. Hour s wthn day d. Cumulatve Metered and Unmetered Stes 1 1 Hourly energy consumpton, loss and UFE for cumulatve metered and unmetered tes can be calculated as follows: 1 E E sd d E E rcg rcg 1 1 L U L sd d U sd d L L U rcg rcg U rcg rcg Where E E sd E rcg L L sd L rcg U U sd s the energy consumpton (kw.h) for te s n hour s the energy consumpton (kw.h) for te s n day d (from the WSD transacton) s the energy consumpton (kw.h) for all tes wth retaler r, profle class c and loss group g n hour (from the WC transacton) s the energy loss (kw.h) for te s n hour s the energy loss (kw.h) for te s n day d (from the WSD transacton) s the energy loss (kw.h) for all tes wth retaler r, profle class c and loss group g n hour (from the WC transacton) s the UFE (kw.h) for te s n hour s the UFE (kw.h) for te s n day d (from the WSD transacton) ATCO Electrc 1 January 01

19 U rcg s the UFE (kw.h) for all tes wth retaler r, profle class c and loss group g n hour (from the WC transacton) nterval Metered Stes Hourly energy consumpton, loss and UFE for cumulatve metered and unmetered tes can be calculated as follows: L U L E U E rcg rcg rcg rcg E W EW Where E s the energy consumpton (kw.h) for te s n hour (from the DM transactons avalable at the tme of the settlement run) E rcg s the energy consumpton (kw.h) for all tes wth retaler r, profle class c and loss group g n hour (from the WC transacton) L s the energy loss (kw.h) for te s n hour L rcg s the energy loss (kw.h) for all tes wth retaler r, profle class c and loss group g n hour (from the WC transacton) U s the UFE (kw.h) for te s n hour U rcg s the UFE (kw.h) for all tes wth retaler r, profle class c and loss group g n hour (from the WC transacton) W s a weghtng factor that has the value 0 f te s s transmson-connected n hour n day d (from the WSD transactons) and a value of 1 f t s not Note that the last formula does not work for a transmson-connected te that s not deemed to be a drect connect te accordng to secton.. ) a) ) of the SSC. ATCO Electrc 1 January 01

20 APPENDX B DEVELOPMENT OF THE SYSTEM LOSS EQUATON n ths appendx the coeffcents of the followng system loss equaton are developed. l A A e 0 Where l s the system loss for hour e s the system load for hour A 0 s the constant coeffcent assocated wth transformer core losses A s the coeffcent assocated wth restve lne losses Assumptons Total dstrbuton system transformer capacty grows at approxmately the same rate as the load growth n the dstrbuton system. The load growth for the secondary and prmary dstrbuton systems s approxmately the same. Defnton of Varables e s the energy flow n nterval nto the dstrbuton system. c s the rato of the annual constant energy loss to the annual total energy loss. p s the rato of the annual total energy loss to the annual total energy flow nto the system l s the total energy loss n the dstrbuton system n nterval s the total number of ntervals n the year. L s the total energy loss for the year E s the total energy enterng the system durng the year. By Defnton E e 1 1 c Annual Constant Energy Loss L L p E L l 1 ATCO Electrc 1 January 01

21 From the system loss equaton l A A e 0 Annual Constant Energy Loss A 1 0 A 0 Combnng, and L 1 l 1 A 0 1 A e A A 0 1 e From equaton and Annual Constant Energy Loss cpe Combnng and 1 1 cpe A 0 Combnng equaton, and pe cpe A Solvng for A e 1 1 A pe(1 c) e Substtutng and nto the equaton for the total loss for nterval becomes 1 l cpe pe(1 c) e e 1 ATCO Electrc 1 January 01

22 The value of c and p can be determned from hstorc loss studes and E s normally forecasted. The value that s not readly avalable s the sum of the square of the nterval energy. Ths value can be determned from ts relatonshp to E, the annual energy delvered to the system. From hstorc load data, t has been found that over a calendar year, the average of the square of the nterval energy has a lnear relatonshp to the square of the average nterval energy. 1 e E k Smplfyng the equaton we have 1 e k E 1 Solvng for the constant k 1 k e 1 1 E By calculatng an average k for hstorc nterval energy, the sum of the square of the nterval energy may be estmated from the forecast annual energy. The resultng energy loss equaton for nterval becomes: l cpe p(1 c) 1 ke e 1 And the loss coeffcents are: 1 cpe A0 A p(1 c) 1 ke ATCO Electrc 0 January 01

23 1 1 f we defne the followng relatonshps, the loss equaton can be dsaggregated to the prmary and secondary dstrbuton systems. p p S p P cp cs ps cp pp Where c p s the rato of the annual constant energy loss n the secondary dstrbuton system to the total annual energy loss n the secondary dstrbuton system c s s the rato of the annual constant energy loss n the prmary dstrbuton system to the total annual energy loss n the prmary dstrbuton system p p s the rato of the total annual energy loss n the prmary dstrbuton system to the annual energy delvered to the dstrbuton system p s s the rato of the total annual energy loss n the secondary dstrbuton system to to the annual energy delvered to the dstrbuton system As there are no transformers n the prmary dstrbuton system, c p s equal to zero and the loss coeffcents for the prmary dstrbuton system becomes 1 A P0 0 A P pp ke 1 And the loss coeffcents for the secondary dstrbuton system are 1 A S 0 cs ps E A S pp(1 cs ) ke ATCO Electrc 1 January 01

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ). REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or

More information

The Current Employment Statistics (CES) survey,

The Current Employment Statistics (CES) survey, Busness Brths and Deaths Impact of busness brths and deaths n the payroll survey The CES probablty-based sample redesgn accounts for most busness brth employment through the mputaton of busness deaths,

More information

Calculation of Sampling Weights

Calculation of Sampling Weights Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample

More information

Calculating the high frequency transmission line parameters of power cables

Calculating the high frequency transmission line parameters of power cables < ' Calculatng the hgh frequency transmsson lne parameters of power cables Authors: Dr. John Dcknson, Laboratory Servces Manager, N 0 RW E B Communcatons Mr. Peter J. Ncholson, Project Assgnment Manager,

More information

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL

More information

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.

More information

DEFINING %COMPLETE IN MICROSOFT PROJECT

DEFINING %COMPLETE IN MICROSOFT PROJECT CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,

More information

IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS

IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS Chrs Deeley* Last revsed: September 22, 200 * Chrs Deeley s a Senor Lecturer n the School of Accountng, Charles Sturt Unversty,

More information

Traffic-light a stress test for life insurance provisions

Traffic-light a stress test for life insurance provisions MEMORANDUM Date 006-09-7 Authors Bengt von Bahr, Göran Ronge Traffc-lght a stress test for lfe nsurance provsons Fnansnspetonen P.O. Box 6750 SE-113 85 Stocholm [Sveavägen 167] Tel +46 8 787 80 00 Fax

More information

To manage leave, meeting institutional requirements and treating individual staff members fairly and consistently.

To manage leave, meeting institutional requirements and treating individual staff members fairly and consistently. Corporate Polces & Procedures Human Resources - Document CPP216 Leave Management Frst Produced: Current Verson: Past Revsons: Revew Cycle: Apples From: 09/09/09 26/10/12 09/09/09 3 years Immedately Authorsaton:

More information

Statistical algorithms in Review Manager 5

Statistical algorithms in Review Manager 5 Statstcal algorthms n Reve Manager 5 Jonathan J Deeks and Julan PT Hggns on behalf of the Statstcal Methods Group of The Cochrane Collaboraton August 00 Data structure Consder a meta-analyss of k studes

More information

Demographic and Health Surveys Methodology

Demographic and Health Surveys Methodology samplng and household lstng manual Demographc and Health Surveys Methodology Ths document s part of the Demographc and Health Survey s DHS Toolkt of methodology for the MEASURE DHS Phase III project, mplemented

More information

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek HE DISRIBUION OF LOAN PORFOLIO VALUE * Oldrch Alfons Vascek he amount of captal necessary to support a portfolo of debt securtes depends on the probablty dstrbuton of the portfolo loss. Consder a portfolo

More information

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting Causal, Explanatory Forecastng Assumes cause-and-effect relatonshp between system nputs and ts output Forecastng wth Regresson Analyss Rchard S. Barr Inputs System Cause + Effect Relatonshp The job of

More information

Construction Rules for Morningstar Canada Target Dividend Index SM

Construction Rules for Morningstar Canada Target Dividend Index SM Constructon Rules for Mornngstar Canada Target Dvdend Index SM Mornngstar Methodology Paper October 2014 Verson 1.2 2014 Mornngstar, Inc. All rghts reserved. The nformaton n ths document s the property

More information

The OC Curve of Attribute Acceptance Plans

The OC Curve of Attribute Acceptance Plans The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4

More information

A Replication-Based and Fault Tolerant Allocation Algorithm for Cloud Computing

A Replication-Based and Fault Tolerant Allocation Algorithm for Cloud Computing A Replcaton-Based and Fault Tolerant Allocaton Algorthm for Cloud Computng Tork Altameem Dept of Computer Scence, RCC, Kng Saud Unversty, PO Box: 28095 11437 Ryadh-Saud Araba Abstract The very large nfrastructure

More information

An Alternative Way to Measure Private Equity Performance

An Alternative Way to Measure Private Equity Performance An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate

More information

Assessing the Fairness of a Firm s Allocation of Shares in Initial Public Offerings: Adapting a Measure from Biostatistics

Assessing the Fairness of a Firm s Allocation of Shares in Initial Public Offerings: Adapting a Measure from Biostatistics Assessng the Farness of a Frm s Allocaton of Shares n Intal Publc Offerngs: Adaptng a Measure from Bostatstcs by Efstatha Bura and Joseph L. Gastwrth Department of Statstcs The George Washngton Unversty

More information

Reporting Forms ARF 113.0A, ARF 113.0B, ARF 113.0C and ARF 113.0D FIRB Corporate (including SME Corporate), Sovereign and Bank Instruction Guide

Reporting Forms ARF 113.0A, ARF 113.0B, ARF 113.0C and ARF 113.0D FIRB Corporate (including SME Corporate), Sovereign and Bank Instruction Guide Reportng Forms ARF 113.0A, ARF 113.0B, ARF 113.0C and ARF 113.0D FIRB Corporate (ncludng SME Corporate), Soveregn and Bank Instructon Gude Ths nstructon gude s desgned to assst n the completon of the FIRB

More information

Staff Paper. Farm Savings Accounts: Examining Income Variability, Eligibility, and Benefits. Brent Gloy, Eddy LaDue, and Charles Cuykendall

Staff Paper. Farm Savings Accounts: Examining Income Variability, Eligibility, and Benefits. Brent Gloy, Eddy LaDue, and Charles Cuykendall SP 2005-02 August 2005 Staff Paper Department of Appled Economcs and Management Cornell Unversty, Ithaca, New York 14853-7801 USA Farm Savngs Accounts: Examnng Income Varablty, Elgblty, and Benefts Brent

More information

1.1 The University may award Higher Doctorate degrees as specified from time-to-time in UPR AS11 1.

1.1 The University may award Higher Doctorate degrees as specified from time-to-time in UPR AS11 1. HIGHER DOCTORATE DEGREES SUMMARY OF PRINCIPAL CHANGES General changes None Secton 3.2 Refer to text (Amendments to verson 03.0, UPR AS02 are shown n talcs.) 1 INTRODUCTION 1.1 The Unversty may award Hgher

More information

Analysis of Premium Liabilities for Australian Lines of Business

Analysis of Premium Liabilities for Australian Lines of Business Summary of Analyss of Premum Labltes for Australan Lnes of Busness Emly Tao Honours Research Paper, The Unversty of Melbourne Emly Tao Acknowledgements I am grateful to the Australan Prudental Regulaton

More information

Methodology to Determine Relationships between Performance Factors in Hadoop Cloud Computing Applications

Methodology to Determine Relationships between Performance Factors in Hadoop Cloud Computing Applications Methodology to Determne Relatonshps between Performance Factors n Hadoop Cloud Computng Applcatons Lus Eduardo Bautsta Vllalpando 1,2, Alan Aprl 1 and Alan Abran 1 1 Department of Software Engneerng and

More information

Multiple-Period Attribution: Residuals and Compounding

Multiple-Period Attribution: Residuals and Compounding Multple-Perod Attrbuton: Resduals and Compoundng Our revewer gave these authors full marks for dealng wth an ssue that performance measurers and vendors often regard as propretary nformaton. In 1994, Dens

More information

How To Understand The Results Of The German Meris Cloud And Water Vapour Product

How To Understand The Results Of The German Meris Cloud And Water Vapour Product Ttel: Project: Doc. No.: MERIS level 3 cloud and water vapour products MAPP MAPP-ATBD-ClWVL3 Issue: 1 Revson: 0 Date: 9.12.1998 Functon Name Organsaton Sgnature Date Author: Bennartz FUB Preusker FUB Schüller

More information

Small pots lump sum payment instruction

Small pots lump sum payment instruction For customers Small pots lump sum payment nstructon Please read these notes before completng ths nstructon About ths nstructon Use ths nstructon f you re an ndvdual wth Aegon Retrement Choces Self Invested

More information

METHODOLOGY TO DETERMINE RELATIONSHIPS BETWEEN PERFORMANCE FACTORS IN HADOOP CLOUD COMPUTING APPLICATIONS

METHODOLOGY TO DETERMINE RELATIONSHIPS BETWEEN PERFORMANCE FACTORS IN HADOOP CLOUD COMPUTING APPLICATIONS METHODOLOGY TO DETERMINE RELATIONSHIPS BETWEEN PERFORMANCE FACTORS IN HADOOP CLOUD COMPUTING APPLICATIONS Lus Eduardo Bautsta Vllalpando 1,2, Alan Aprl 1 and Alan Abran 1 1 Department of Software Engneerng

More information

Account Transfer and Direct Rollover

Account Transfer and Direct Rollover CED0105 Amerprse Fnancal Servces, Inc. 70100 Amerprse Fnancal Center Mnneapols, MN 55474 Account Transfer and Drect Rollover Important: Before fnal submsson to the Home Offce you wll need a Reference Number.

More information

Tuition Fee Loan application notes

Tuition Fee Loan application notes Tuton Fee Loan applcaton notes for new part-tme EU students 2012/13 About these notes These notes should be read along wth your Tuton Fee Loan applcaton form. The notes are splt nto three parts: Part 1

More information

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy 4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.

More information

Computer-assisted Auditing for High- Volume Medical Coding

Computer-assisted Auditing for High- Volume Medical Coding Computer-asssted Audtng for Hgh-Volume Medcal Codng Computer-asssted Audtng for Hgh- Volume Medcal Codng by Danel T. Henze, PhD; Peter Feller, MS; Jerry McCorkle, BA; and Mark Morsch, MS Abstract The volume

More information

Sample Design in TIMSS and PIRLS

Sample Design in TIMSS and PIRLS Sample Desgn n TIMSS and PIRLS Introducton Marc Joncas Perre Foy TIMSS and PIRLS are desgned to provde vald and relable measurement of trends n student achevement n countres around the world, whle keepng

More information

Time Value of Money Module

Time Value of Money Module Tme Value of Money Module O BJECTIVES After readng ths Module, you wll be able to: Understand smple nterest and compound nterest. 2 Compute and use the future value of a sngle sum. 3 Compute and use the

More information

Characterization of Assembly. Variation Analysis Methods. A Thesis. Presented to the. Department of Mechanical Engineering. Brigham Young University

Characterization of Assembly. Variation Analysis Methods. A Thesis. Presented to the. Department of Mechanical Engineering. Brigham Young University Characterzaton of Assembly Varaton Analyss Methods A Thess Presented to the Department of Mechancal Engneerng Brgham Young Unversty In Partal Fulfllment of the Requrements for the Degree Master of Scence

More information

Reporting Instructions for Schedules A through S

Reporting Instructions for Schedules A through S FFIEC 0 Reportng Instructons for Schedules A through S FFIEC 0 FFIEC 0 CONTENTS INSTRUCTIONS FOR PREPARATION OF FFIEC 0 Rsk-Based Captal Reportng for Insttutons Subject to the Advanced Captal Adequacy

More information

Traffic State Estimation in the Traffic Management Center of Berlin

Traffic State Estimation in the Traffic Management Center of Berlin Traffc State Estmaton n the Traffc Management Center of Berln Authors: Peter Vortsch, PTV AG, Stumpfstrasse, D-763 Karlsruhe, Germany phone ++49/72/965/35, emal peter.vortsch@ptv.de Peter Möhl, PTV AG,

More information

Hollinger Canadian Publishing Holdings Co. ( HCPH ) proceeding under the Companies Creditors Arrangement Act ( CCAA )

Hollinger Canadian Publishing Holdings Co. ( HCPH ) proceeding under the Companies Creditors Arrangement Act ( CCAA ) February 17, 2011 Andrew J. Hatnay ahatnay@kmlaw.ca Dear Sr/Madam: Re: Re: Hollnger Canadan Publshng Holdngs Co. ( HCPH ) proceedng under the Companes Credtors Arrangement Act ( CCAA ) Update on CCAA Proceedngs

More information

Intra-year Cash Flow Patterns: A Simple Solution for an Unnecessary Appraisal Error

Intra-year Cash Flow Patterns: A Simple Solution for an Unnecessary Appraisal Error Intra-year Cash Flow Patterns: A Smple Soluton for an Unnecessary Apprasal Error By C. Donald Wggns (Professor of Accountng and Fnance, the Unversty of North Florda), B. Perry Woodsde (Assocate Professor

More information

JCM_VN_AM003_ver01.0 Sectoral scope: 03

JCM_VN_AM003_ver01.0 Sectoral scope: 03 Sectoral scoe: 03 Jont Credtng Mechansm Aroved Methodology VN_AM003 Imrovng the energy effcency of commercal buldngs by utlzaton of hgh effcency equment A. Ttle of the methodology Imrovng the energy effcency

More information

Simple Interest Loans (Section 5.1) :

Simple Interest Loans (Section 5.1) : Chapter 5 Fnance The frst part of ths revew wll explan the dfferent nterest and nvestment equatons you learned n secton 5.1 through 5.4 of your textbook and go through several examples. The second part

More information

Trust Deed UNISAVER NEW ZEALAND

Trust Deed UNISAVER NEW ZEALAND Trust Deed UNISAVER NEW ZEALAND Table of contents Partes...1 Background...1 Operatve Part...1 Covenants...2 1 Establshment of Scheme...2 2 Defntons and Interpretaton...2 3 Membershp...10 4 Contrbutons...10

More information

Exhaustive Regression. An Exploration of Regression-Based Data Mining Techniques Using Super Computation

Exhaustive Regression. An Exploration of Regression-Based Data Mining Techniques Using Super Computation Exhaustve Regresson An Exploraton of Regresson-Based Data Mnng Technques Usng Super Computaton Antony Daves, Ph.D. Assocate Professor of Economcs Duquesne Unversty Pttsburgh, PA 58 Research Fellow The

More information

7.5. Present Value of an Annuity. Investigate

7.5. Present Value of an Annuity. Investigate 7.5 Present Value of an Annuty Owen and Anna are approachng retrement and are puttng ther fnances n order. They have worked hard and nvested ther earnngs so that they now have a large amount of money on

More information

Performance attribution for multi-layered investment decisions

Performance attribution for multi-layered investment decisions Performance attrbuton for mult-layered nvestment decsons 880 Thrd Avenue 7th Floor Ne Yor, NY 10022 212.866.9200 t 212.866.9201 f qsnvestors.com Inna Oounova Head of Strategc Asset Allocaton Portfolo Management

More information

Lecture 3: Force of Interest, Real Interest Rate, Annuity

Lecture 3: Force of Interest, Real Interest Rate, Annuity Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, and

More information

Open Access A Load Balancing Strategy with Bandwidth Constraint in Cloud Computing. Jing Deng 1,*, Ping Guo 2, Qi Li 3, Haizhu Chen 1

Open Access A Load Balancing Strategy with Bandwidth Constraint in Cloud Computing. Jing Deng 1,*, Ping Guo 2, Qi Li 3, Haizhu Chen 1 Send Orders for Reprnts to reprnts@benthamscence.ae The Open Cybernetcs & Systemcs Journal, 2014, 8, 115-121 115 Open Access A Load Balancng Strategy wth Bandwdth Constrant n Cloud Computng Jng Deng 1,*,

More information

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo.

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo. ICSV4 Carns Australa 9- July, 007 RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL Yaoq FENG, Hanpng QIU Dynamc Test Laboratory, BISEE Chna Academy of Space Technology (CAST) yaoq.feng@yahoo.com Abstract

More information

NPAR TESTS. One-Sample Chi-Square Test. Cell Specification. Observed Frequencies 1O i 6. Expected Frequencies 1EXP i 6

NPAR TESTS. One-Sample Chi-Square Test. Cell Specification. Observed Frequencies 1O i 6. Expected Frequencies 1EXP i 6 PAR TESTS If a WEIGHT varable s specfed, t s used to replcate a case as many tmes as ndcated by the weght value rounded to the nearest nteger. If the workspace requrements are exceeded and samplng has

More information

Stress test for measuring insurance risks in non-life insurance

Stress test for measuring insurance risks in non-life insurance PROMEMORIA Datum June 01 Fnansnspektonen Författare Bengt von Bahr, Younes Elonq and Erk Elvers Stress test for measurng nsurance rsks n non-lfe nsurance Summary Ths memo descrbes stress testng of nsurance

More information

Using Series to Analyze Financial Situations: Present Value

Using Series to Analyze Financial Situations: Present Value 2.8 Usng Seres to Analyze Fnancal Stuatons: Present Value In the prevous secton, you learned how to calculate the amount, or future value, of an ordnary smple annuty. The amount s the sum of the accumulated

More information

ASSESSING THE AVAILABILITY AND ALLOCATION OF PRODUCTION CAPACITY IN A FABRICATION FACILITY THROUGH SIMULATION MODELING: A CASE STUDY

ASSESSING THE AVAILABILITY AND ALLOCATION OF PRODUCTION CAPACITY IN A FABRICATION FACILITY THROUGH SIMULATION MODELING: A CASE STUDY Internatonal Journal of Industral Engneerng, 15(2), 166-175, 2008. ASSESSING THE AVAILABILITY AND ALLOCATION OF PRODUCTION CAPACITY IN A FABRICATION FACILITY THROUGH SIMULATION MODELING: A CASE STUDY J.H.

More information

How To Calculate The Accountng Perod Of Nequalty

How To Calculate The Accountng Perod Of Nequalty Inequalty and The Accountng Perod Quentn Wodon and Shlomo Ytzha World Ban and Hebrew Unversty September Abstract Income nequalty typcally declnes wth the length of tme taen nto account for measurement.

More information

An Interest-Oriented Network Evolution Mechanism for Online Communities

An Interest-Oriented Network Evolution Mechanism for Online Communities An Interest-Orented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne

More information

IT09 - Identity Management Policy

IT09 - Identity Management Policy IT09 - Identty Management Polcy Introducton 1 The Unersty needs to manage dentty accounts for all users of the Unersty s electronc systems and ensure that users hae an approprate leel of access to these

More information

A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION. Michael E. Kuhl Radhamés A. Tolentino-Peña

A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION. Michael E. Kuhl Radhamés A. Tolentino-Peña Proceedngs of the 2008 Wnter Smulaton Conference S. J. Mason, R. R. Hll, L. Mönch, O. Rose, T. Jefferson, J. W. Fowler eds. A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION

More information

CHAPTER 14 MORE ABOUT REGRESSION

CHAPTER 14 MORE ABOUT REGRESSION CHAPTER 14 MORE ABOUT REGRESSION We learned n Chapter 5 that often a straght lne descrbes the pattern of a relatonshp between two quanttatve varables. For nstance, n Example 5.1 we explored the relatonshp

More information

Solution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt.

Solution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt. Chapter 9 Revew problems 9.1 Interest rate measurement Example 9.1. Fund A accumulates at a smple nterest rate of 10%. Fund B accumulates at a smple dscount rate of 5%. Fnd the pont n tme at whch the forces

More information

Documentation about calculation methods used for the electricity supply price index (SPIN 35.1),

Documentation about calculation methods used for the electricity supply price index (SPIN 35.1), STATISTICS SWEDEN Documentaton (6) ES/PR-S 0-- artn Kullendorff arcus rdén Documentaton about calculaton methods used for the electrct suppl prce ndex (SPIN 35.), home sales (HPI) The ndex fgure for electrct

More information

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12 14 The Ch-squared dstrbuton PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 1 If a normal varable X, havng mean µ and varance σ, s standardsed, the new varable Z has a mean 0 and varance 1. When ths standardsed

More information

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..

More information

Proceedings of the Annual Meeting of the American Statistical Association, August 5-9, 2001

Proceedings of the Annual Meeting of the American Statistical Association, August 5-9, 2001 Proceedngs of the Annual Meetng of the Amercan Statstcal Assocaton, August 5-9, 2001 LIST-ASSISTED SAMPLING: THE EFFECT OF TELEPHONE SYSTEM CHANGES ON DESIGN 1 Clyde Tucker, Bureau of Labor Statstcs James

More information

Guide to the Volatility Indices of Deutsche Börse

Guide to the Volatility Indices of Deutsche Börse Volatlty Indces of Deutsche Börse Verson.4 Volatlty Indces of Deutschen Börse Page General Informaton In order to ensure the hghest qualty of each of ts ndces, Deutsche Börse AG exercses the greatest care

More information

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000 Problem Set 5 Solutons 1 MIT s consderng buldng a new car park near Kendall Square. o unversty funds are avalable (overhead rates are under pressure and the new faclty would have to pay for tself from

More information

A system for real-time calculation and monitoring of energy performance and carbon emissions of RET systems and buildings

A system for real-time calculation and monitoring of energy performance and carbon emissions of RET systems and buildings A system for real-tme calculaton and montorng of energy performance and carbon emssons of RET systems and buldngs Dr PAAIOTIS PHILIMIS Dr ALESSADRO GIUSTI Dr STEPHE GARVI CE Technology Center Democratas

More information

Efficient Project Portfolio as a tool for Enterprise Risk Management

Efficient Project Portfolio as a tool for Enterprise Risk Management Effcent Proect Portfolo as a tool for Enterprse Rsk Management Valentn O. Nkonov Ural State Techncal Unversty Growth Traectory Consultng Company January 5, 27 Effcent Proect Portfolo as a tool for Enterprse

More information

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT Toshhko Oda (1), Kochro Iwaoka (2) (1), (2) Infrastructure Systems Busness Unt, Panasonc System Networks Co., Ltd. Saedo-cho

More information

Using Certes to Infer Client Response Time at the Web Server

Using Certes to Infer Client Response Time at the Web Server Usng Certes to Infer Clent Response Tme at the eb Server DAVID OLSHEFSKI IBM T.J. atson Research Center and Columba Unversty JASON NIEH Columba Unversty and DAKSHI AGRAAL IBM T.J. atson Research Center

More information

Nordea G10 Alpha Carry Index

Nordea G10 Alpha Carry Index Nordea G10 Alpha Carry Index Index Rules v1.1 Verson as of 10/10/2013 1 (6) Page 1 Index Descrpton The G10 Alpha Carry Index, the Index, follows the development of a rule based strategy whch nvests and

More information

LIFETIME INCOME OPTIONS

LIFETIME INCOME OPTIONS LIFETIME INCOME OPTIONS May 2011 by: Marca S. Wagner, Esq. The Wagner Law Group A Professonal Corporaton 99 Summer Street, 13 th Floor Boston, MA 02110 Tel: (617) 357-5200 Fax: (617) 357-5250 www.ersa-lawyers.com

More information

L10: Linear discriminants analysis

L10: Linear discriminants analysis L0: Lnear dscrmnants analyss Lnear dscrmnant analyss, two classes Lnear dscrmnant analyss, C classes LDA vs. PCA Lmtatons of LDA Varants of LDA Other dmensonalty reducton methods CSCE 666 Pattern Analyss

More information

DISCLOSURES I. ELECTRONIC FUND TRANSFER DISCLOSURE (REGULATION E)... 2 ELECTRONIC DISCLOSURE AND ELECTRONIC SIGNATURE CONSENT... 7

DISCLOSURES I. ELECTRONIC FUND TRANSFER DISCLOSURE (REGULATION E)... 2 ELECTRONIC DISCLOSURE AND ELECTRONIC SIGNATURE CONSENT... 7 DISCLOSURES The Dsclosures set forth below may affect the accounts you have selected wth Bank Leum USA. Read these dsclosures carefully as they descrbe your rghts and oblgatons for the accounts and/or

More information

SUMMARY OF RECENT EFFECTIVE (AND SOON TO BE EFFECTIVE) CHANGES TO CALIFORNIA CONSTRUCTION PAYMENT ENFORCEMENT STATUTES

SUMMARY OF RECENT EFFECTIVE (AND SOON TO BE EFFECTIVE) CHANGES TO CALIFORNIA CONSTRUCTION PAYMENT ENFORCEMENT STATUTES SUMMARY OF RECENT EFFECTIVE (AND SOON TO BE EFFECTIVE) CHANGES TO CALIFORNIA CONSTRUCTION PAYMENT ENFORCEMENT STATUTES Aprl 18, 2012 CHANGES EFFECTIVE JANUARY 1, 2011 FORMER CURRENT C.C. 3084.* C.C. 3084.

More information

ERP Software Selection Using The Rough Set And TPOSIS Methods

ERP Software Selection Using The Rough Set And TPOSIS Methods ERP Software Selecton Usng The Rough Set And TPOSIS Methods Under Fuzzy Envronment Informaton Management Department, Hunan Unversty of Fnance and Economcs, No. 139, Fengln 2nd Road, Changsha, 410205, Chna

More information

UK Letter Mail Demand: a Content Based Time Series Analysis using Overlapping Market Survey Statistical Techniques

UK Letter Mail Demand: a Content Based Time Series Analysis using Overlapping Market Survey Statistical Techniques 10-170 Research Group: Econometrcs and Statstcs 2010 UK Letter Mal Demand: a Content Based Tme Seres nalyss usng Overlappng Market Survey Statstcal Technques CTHERINE CZLS, JEN-PIERRE FLORENS, LETICI VERUETE-MCKY,

More information

Overview of monitoring and evaluation

Overview of monitoring and evaluation 540 Toolkt to Combat Traffckng n Persons Tool 10.1 Overvew of montorng and evaluaton Overvew Ths tool brefly descrbes both montorng and evaluaton, and the dstncton between the two. What s montorng? Montorng

More information

Fault tolerance in cloud technologies presented as a service

Fault tolerance in cloud technologies presented as a service Internatonal Scentfc Conference Computer Scence 2015 Pavel Dzhunev, PhD student Fault tolerance n cloud technologes presented as a servce INTRODUCTION Improvements n technques for vrtualzaton and performance

More information

Underwriting Risk. Glenn Meyers. Insurance Services Office, Inc.

Underwriting Risk. Glenn Meyers. Insurance Services Office, Inc. Underwrtng Rsk By Glenn Meyers Insurance Servces Offce, Inc. Abstract In a compettve nsurance market, nsurers have lmted nfluence on the premum charged for an nsurance contract. hey must decde whether

More information

Can Auto Liability Insurance Purchases Signal Risk Attitude?

Can Auto Liability Insurance Purchases Signal Risk Attitude? Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159-164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? Chu-Shu L Department of Internatonal Busness, Asa Unversty, Tawan Sheng-Chang

More information

Instructions for Analyzing Data from CAHPS Surveys:

Instructions for Analyzing Data from CAHPS Surveys: Instructons for Analyzng Data from CAHPS Surveys: Usng the CAHPS Analyss Program Verson 4.1 Purpose of ths Document...1 The CAHPS Analyss Program...1 Computng Requrements...1 Pre-Analyss Decsons...2 What

More information

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES In ths chapter, we wll learn how to descrbe the relatonshp between two quanttatve varables. Remember (from Chapter 2) that the terms quanttatve varable

More information

An Evaluation of the Extended Logistic, Simple Logistic, and Gompertz Models for Forecasting Short Lifecycle Products and Services

An Evaluation of the Extended Logistic, Simple Logistic, and Gompertz Models for Forecasting Short Lifecycle Products and Services An Evaluaton of the Extended Logstc, Smple Logstc, and Gompertz Models for Forecastng Short Lfecycle Products and Servces Charles V. Trappey a,1, Hsn-yng Wu b a Professor (Management Scence), Natonal Chao

More information

Chapter 4 ECONOMIC DISPATCH AND UNIT COMMITMENT

Chapter 4 ECONOMIC DISPATCH AND UNIT COMMITMENT Chapter 4 ECOOMIC DISATCH AD UIT COMMITMET ITRODUCTIO A power system has several power plants. Each power plant has several generatng unts. At any pont of tme, the total load n the system s met by the

More information

Labour Cost Index 2008=100

Labour Cost Index 2008=100 Handbooks 47c Labour Cost Index 2008=100 Handbook for Users Handbooks 47c Labour Cost Index 2008=100 Handbook for Users Helsnk 2013 Inqures: Pekka Haapala Hanna Jokmäk +358 9 17 341 tvkndeks@stat.f Homepage:

More information

Fuzzy Set Approach To Asymmetrical Load Balancing In Distribution Networks

Fuzzy Set Approach To Asymmetrical Load Balancing In Distribution Networks Fuzzy Set Approach To Asymmetrcal Load Balancng n Dstrbuton Networks Goran Majstrovc Energy nsttute Hrvoje Por Zagreb, Croata goran.majstrovc@ehp.hr Slavko Krajcar Faculty of electrcal engneerng and computng

More information

ESTIMATING THE MARKET VALUE OF FRANKING CREDITS: EMPIRICAL EVIDENCE FROM AUSTRALIA

ESTIMATING THE MARKET VALUE OF FRANKING CREDITS: EMPIRICAL EVIDENCE FROM AUSTRALIA ESTIMATING THE MARKET VALUE OF FRANKING CREDITS: EMPIRICAL EVIDENCE FROM AUSTRALIA Duc Vo Beauden Gellard Stefan Mero Economc Regulaton Authorty 469 Wellngton Street, Perth, WA 6000, Australa Phone: (08)

More information

Risk Model of Long-Term Production Scheduling in Open Pit Gold Mining

Risk Model of Long-Term Production Scheduling in Open Pit Gold Mining Rsk Model of Long-Term Producton Schedulng n Open Pt Gold Mnng R Halatchev 1 and P Lever 2 ABSTRACT Open pt gold mnng s an mportant sector of the Australan mnng ndustry. It uses large amounts of nvestments,

More information

Forecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network

Forecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network 700 Proceedngs of the 8th Internatonal Conference on Innovaton & Management Forecastng the Demand of Emergency Supples: Based on the CBR Theory and BP Neural Network Fu Deqang, Lu Yun, L Changbng School

More information

Cloud-based Social Application Deployment using Local Processing and Global Distribution

Cloud-based Social Application Deployment using Local Processing and Global Distribution Cloud-based Socal Applcaton Deployment usng Local Processng and Global Dstrbuton Zh Wang *, Baochun L, Lfeng Sun *, and Shqang Yang * * Bejng Key Laboratory of Networked Multmeda Department of Computer

More information

the Manual on the global data processing and forecasting system (GDPFS) (WMO-No.485; available at http://www.wmo.int/pages/prog/www/manuals.

the Manual on the global data processing and forecasting system (GDPFS) (WMO-No.485; available at http://www.wmo.int/pages/prog/www/manuals. Gudelne on the exchange and use of EPS verfcaton results Update date: 30 November 202. Introducton World Meteorologcal Organzaton (WMO) CBS-XIII (2005) recommended that the general responsbltes for a Lead

More information

JPMorgan Commodity Target Volatility Index Series

JPMorgan Commodity Target Volatility Index Series JPMorgan Commodty Target Volatlty Index Seres Index Rules November 2010 All Rghts Reserved 1. Ths Part A: General Rules 1.1 Introducton PART A General Rules Ths Part A: General Rules sets out a general

More information

End-to-end measurements of GPRS-EDGE networks have

End-to-end measurements of GPRS-EDGE networks have End-to-end measurements over GPRS-EDGE networks Juan Andrés Negrera Facultad de Ingenería, Unversdad de la Repúblca Montevdeo, Uruguay Javer Perera Facultad de Ingenería, Unversdad de la Repúblca Montevdeo,

More information

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP)

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP) 6.3 / -- Communcaton Networks II (Görg) SS20 -- www.comnets.un-bremen.de Communcaton Networks II Contents. Fundamentals of probablty theory 2. Emergence of communcaton traffc 3. Stochastc & Markovan Processes

More information

A Master Time Value of Money Formula. Floyd Vest

A Master Time Value of Money Formula. Floyd Vest A Master Tme Value of Money Formula Floyd Vest For Fnancal Functons on a calculator or computer, Master Tme Value of Money (TVM) Formulas are usually used for the Compound Interest Formula and for Annutes.

More information

How To Solve An Onlne Control Polcy On A Vrtualzed Data Center

How To Solve An Onlne Control Polcy On A Vrtualzed Data Center Dynamc Resource Allocaton and Power Management n Vrtualzed Data Centers Rahul Urgaonkar, Ulas C. Kozat, Ken Igarash, Mchael J. Neely urgaonka@usc.edu, {kozat, garash}@docomolabs-usa.com, mjneely@usc.edu

More information

Outsourcing inventory management decisions in healthcare: Models and application

Outsourcing inventory management decisions in healthcare: Models and application European Journal of Operatonal Research 154 (24) 271 29 O.R. Applcatons Outsourcng nventory management decsons n healthcare: Models and applcaton www.elsever.com/locate/dsw Lawrence Ncholson a, Asoo J.

More information

RequIn, a tool for fast web traffic inference

RequIn, a tool for fast web traffic inference RequIn, a tool for fast web traffc nference Olver aul, Jean Etenne Kba GET/INT, LOR Department 9 rue Charles Fourer 90 Evry, France Olver.aul@nt-evry.fr, Jean-Etenne.Kba@nt-evry.fr Abstract As networked

More information

Verification by Equipment or End-Use Metering Protocol

Verification by Equipment or End-Use Metering Protocol Verfcaton by Equpment or End-Use Meterng Protocol May 2012 Verfcaton by Equpment or End-Use Meterng Protocol Verson 1.0 May 2012 Prepared for Bonnevlle Power Admnstraton Prepared by Research Into Acton,

More information

General Iteration Algorithm for Classification Ratemaking

General Iteration Algorithm for Classification Ratemaking General Iteraton Algorthm for Classfcaton Ratemakng by Luyang Fu and Cheng-sheng eter Wu ABSTRACT In ths study, we propose a flexble and comprehensve teraton algorthm called general teraton algorthm (GIA)

More information

S&P/CITIC CHINA BOND INDICES

S&P/CITIC CHINA BOND INDICES October 2006 S&P/CITIC CHINA BOND INDICES INDEX METHODOLOGY Table of Contents Introducton 3 Hghlghts 3 Partnershp 4 Index Famly 4 Elgblty Crtera 5 S&P/CITIC Government Bond Index 5 S&P/CITIC Corporate

More information