Development of a Weekly Load Forecasting Expert System

주간수요예측 전문가 시스템 개발

  • 황갑주 (울산대 공대 전기공학과) ;
  • 김광호 (강원대 공대 전기공학과) ;
  • 김성학 (한국전력공사 계통운용처 책임 전문원)
  • Published : 1999.04.01

Abstract

This paper describes the Weekly Load Forecasting Expert System(Named WLoFy) which was developed and implemented for Korea Electric Power Corporation(KEPCO). WLoFy was designed to provide user oriented features with a graphical user interface to improve the user interaction. The various forecasting models such as exponential smoothing, multiple regression, artificial nerual networks, rult-based model, and relative coefficient model also have been included in WLofy to increase the forecasting accuracy. The simulation based on historical data shows that the weekly forecasting results form WLoFy is an improvement when compared to the results from the conventional methods. Especially the forecasting accuracy on special days has been improved remakably.

Keywords

References

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