Response modeling of small-scale energy consumers for effective demand response applications
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- 作者：A. Chrysopoulosa ; b ; achryso@issel.ee.auth.gr" class="auth_mail" title="E-mail the corresponding author ; C. Dioua ; b ; diou@iti.gr" class="auth_mail" title="E-mail the corresponding author ; A.L. Symeonidisa ; b ; asymeon@issel.ee.auth.gr" class="auth_mail" title="E-mail the corresponding author ; P.A. Mitkasa ; b ; mitkas@auth.gr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Smart Grid ; Small-scale consumer models ; Response modeling ; Response simulation ; Demand response applications
- 刊名：Electric Power Systems Research
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：132
- 期：Complete
- 页码：78-93
- 全文大小：2982 K
文摘
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A novel framework for predicting consumer behavior in demand response programs.
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Prediction of demand shifting at activity level, in response to changes in pricing.
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Models incorporate consumer preferences and comfort through a sensitivity factor.
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Evaluated in two real-world pilots: a residential building and a shopping center.
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An average error of less than 10% proves the effectiveness of the presented models.