Short term power load forecasting using a modified generalized regression neural network

Keem Siah Yap, Chee Peng Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Short Term Load Forecasting is very important from the power systems grid operation point of view. The short term time frame may consist of half hourly prediction up to monthly prediction. Accurate forecasting would benefit the utility in terms of reliability and stability of the grid ensuring adequate supply is present to meet with the load demand. Apart from that it would also affect the financial performance of the utility company. An accurate forecast would result in better savings while maintaining the security of the grid. This paper outlines the short term load forecasting using a Modified Generalized Regression Neural Network (MGRNN). The experiments are based on the power load data from Jan 1997 to Jan 1999 of East Slovakian Electricity Corporation. Simulation results show that MGRNN has comparable prediction accuracy compared to benchmark result archived by Support Vector Regression.

Original languageEnglish
Title of host publicationProceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008
Pages180-184
Number of pages5
Publication statusPublished - 01 Dec 2008
Event4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008 - Langkawi, Malaysia
Duration: 02 Apr 200804 Apr 2008

Other

Other4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008
CountryMalaysia
CityLangkawi
Period02/04/0804/04/08

Fingerprint

Neural networks
Industry
Electricity
Experiments

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology

Cite this

Yap, K. S., & Lim, C. P. (2008). Short term power load forecasting using a modified generalized regression neural network. In Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008 (pp. 180-184)
Yap, Keem Siah ; Lim, Chee Peng. / Short term power load forecasting using a modified generalized regression neural network. Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008. 2008. pp. 180-184
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Yap, KS & Lim, CP 2008, Short term power load forecasting using a modified generalized regression neural network. in Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008. pp. 180-184, 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008, Langkawi, Malaysia, 02/04/08.

Short term power load forecasting using a modified generalized regression neural network. / Yap, Keem Siah; Lim, Chee Peng.

Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008. 2008. p. 180-184.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Yap KS, Lim CP. Short term power load forecasting using a modified generalized regression neural network. In Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008. 2008. p. 180-184