Regression Analysis for Electricity Consumption Estimation in Residential Area

カテゴリ: 部門大会

論文No: 165

グループ名: 【B】平成22年電気学会電力・エネルギー部門大会講演論文集

発行日: 2010/09/01

タイトル(英語): Regression Analysis for Electricity Consumption Estimation in Residential Area

著者名: Yusri S. Akil (熊本大学),宮内 肇(熊本大学)

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

キーワード: 回帰分析|電力需要評価|住居地域|気象条件|Regression Analysis|Electricity Consumption Estimation|Residential Area|Climatic Condition

要約(日本語): The purpose of this paper is to estimate electricity consumption in residential areas using regression analysis. Regression models for each season are created for demand prediction related with climatic conditions as explanatory variables. Meteorological parameters such as temperature and relative humidity are used as factors influencing residential electricity consumption. To examine and validate the models, some statistical tests are used such as t-ratio, adjusted coefficient of determination, and Durbin-Watson statistic. The results indicate the significance of the explanatory variables for almost seasons and show that the autoregressive model of the error terms gives better estimation.

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