Medium-Term Residential Electricity Demand Forecasting using Regression-Based Model

カテゴリ: 研究会(論文単位)

論文No: PSE10187

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: 2010/09/30

タイトル(英語): Medium-Term Residential Electricity Demand Forecasting using Regression-Based Model

著者名: Akil Yusri(熊本大学),宮内 肇(熊本大学)

著者名(英語): Akil Yusri(Kumamoto University),Miyauchi Hajime(Kumamoto University)

キーワード: 需要予測|回帰分析|温度|Demand forecasting|Regression equation|Temperature

要約(日本語): This study aims to present regression based-model to forecast medium-term residential electricity demand. Hourly load demand and meteorological parameters data are used to compose every season models. From the results, temperature has the most influence on the demand and incorporating AR (2) to the models gives better forecast.

要約(英語): This study aims to present regression based-model to forecast medium-term residential electricity demand. Hourly load demand and meteorological parameters data are used to compose every season models. From the results, temperature has the most influence on the demand and incorporating AR (2) to the models gives better forecast.

原稿種別: 日本語

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