Neural Network-based Forecasting of Demands and Electricity Prices under Large Volatilities

カテゴリ: 研究会(論文単位)

論文No: PSE07158

グループ名: 【B】電力・エネルギー部門　電力系統技術研究会

発行日: 2007/11/19

タイトル(英語): Neural Network-based Forecasting of Demands and Electricity Prices under Large Volatilities

著者名: 谷 洋平(首都大学東京),相馬 隆郎(首都大学東京),横山 隆一(早稲田大学),新村 隆英(早稲田大学)

著者名(英語): Tani Yohei(Tokyo Metropolitan Universiy),Takao Souma(Tokyo Metropolitan Universiy),Ryuichi Yokoyama(Waseda University),Takahide Niimura(Waseda University)

要約(英語): The proposed method is composed of two-step forecasting. The peak power demand of the next day and electric power prices at the peak time of the next day are forecasted based on the neural network. Finally, the proposed forecasting methods are applied to

原稿種別: 日本語

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