TY  - CONF
CY  - Shah Alam
AV  - none
N2  - Continuing trend towards deregulation and unbundling of transmission services has resulted in the need to measure the flow of power primarily for pricing and tariff purposes. Tracing methodology hence had been introduced to overcome problems related to the Marginal pricing of transmission costs. This study is twofold: the first revolves around the validation of the method and a 360° analysis of the proportional method which leads to a redefined power tracing method; the second is to further refine the proposed prediction method by establishing trends of the learning coefficients, using them to examine the relationship between accuracy and number of samples taken. Response of individual generators to change in demand and the corresponding associated losses are also presented. MATLAB with matpower4.0b extension was used to present the study on the IEEE 24bus RTS. © 2010 IEEE.
N1  - cited By 1; Conference of 4th International Power Engineering and Optimization Conference, PEOCO 2010 ; Conference Date: 23 June 2010 Through 24 June 2010; Conference Code:81811
KW  - Prediction; Proportional tracing methodology; Receiving algorithm; Regression; Sending algorithm
KW  -  Forecasting; Optimization; Regression analysis
KW  -  Algorithms
ID  - scholars1150
SP  - 267
TI  - Application of regression and tracing methodology for efficient operation of generators and retailers in a deregulated system
Y1  - 2010///
SN  - 9781424471287
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-77958003505&doi=10.1109%2fPEOCO.2010.5559172&partnerID=40&md5=ec0eb65f61db89b2935c0ecd9c5330ab
A1  - Nallagownden, P.
A1  - Lee, T.Y.
EP  - 273
ER  -