Title :
Regression model of electricity load of the Mongolian Central Energy System (CES)
Author :
Sodnomdorj, D. ; Eldev-Ochir, L. ; Uuganbayar, S.
Author_Institution :
Mongolian Univ. of Sci. & Technol., Ulaanbaatar, Mongolia
fDate :
26 June-3 July 2004
Abstract :
The electricity load is one of main input data for quantitative analysis of power system regimes and it is essential to come up with reliable data for operational and power system development purposes. In this paper we present the mathematical and statistical models, which were created on statistical data of Mongolian Central Energy System (CES), such as peak load, generated and distributed electricity, for 10 years and on monthly basis. We tested these models by different criteria and for reliability.
Keywords :
electric power generation; load forecasting; power distribution; regression analysis; Mongolian Central Energy System; electricity load; mathematical models; power system development; power system regimes; regression model; statistical models; Equations; Load modeling; Mathematical model; Power system analysis computing; Power system modeling; Power system reliability; Probability; Statistics; Stochastic processes; Testing;
Conference_Titel :
Science and Technology, 2004. KORUS 2004. Proceedings. The 8th Russian-Korean International Symposium on
Print_ISBN :
0-7803-8383-4
DOI :
10.1109/KORUS.2004.1555355