Long-term Load Prediction of 9 Japanese Power Utilities Using Radial Basis Function Networks

カテゴリ: 全国大会

論文No: 6-090

グループ名: 【全国大会】平成16年電気学会全国大会論文集

発行日: 2004/03/17

タイトル(英語): Long-term Load Prediction of 9 Japanese Power Utilities Using Radial Basis Function Networks

著者名: Al Mamun Mostafa (Tokyo University of Agriculture and Technology),長坂 研(Tokyo University of Agriculture and Technology)

著者名(英語): Mostafa Al Mamun (Tokyo University of Agriculture and Technology),Ken Nagasaka(Tokyo University of Agriculture and Technology)

キーワード: Economy Factors|Electric Load Demand|Long-term Load Forecasting|Radial Basis Function Networks|Short-term Load Forecasting

要約(日本語): Prediction of peak loads in Japan up to year 2010 is discussed using Radial Basis Function Networks (RBFNs). Predictions were done for target years 2001 to 2010 respectively. Unlike short-term load forecasting, long-term load forecasting is mainly affected by economy factors rather than weather conditions. This study focuses on economical data that seem to have influence on long-term electric load demand. The maximum demands for 2001 through 2010 are shown to be elevated from 171.42GW to 198.60GW for entire 9 Japanese Power Utilities. The annual average rate of load growth seen per ten years until 2010 is about 1.3%.

原稿種別: 日本語

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