대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
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전력부하 유형에 따른 신경회로망 단기부하예측에 관한 연구

Short-term Load Forecasting Using Neural Networks By Electrical Load Pattern

  • Park, H.S. (Department of Electrical Engineering, Pusan National University) ;
  • Lee, S.S. (Department of Electrical Engineering, Pusan National University) ;
  • Kim, H.S. (Department of Electrical Engineering, Pusan National University) ;
  • Mun, K.J. (Department of Electrical Engineering, Pusan National University) ;
  • Park, J.H. (Department of Electrical Engineering, Pusan National University)
  • 발행 : 1997.07.21
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초록

This paper presents the development of an Artificial Neural Networks(ANN) for Short-Term Load Forecasting(STLF). First, used historical load data is divided into 5 patterns for the each seasonal data using Kohonen networks. Second, classified data is used as inputs of Back-propagation networks for next day hourly load forecasting. The proposed method was tested with KEPCO hourly record (1994-95) and we obtained desirable results.

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