Demand response clustering - How do dynamic prices affect household electricity consumption?
Demand response clustering - How do dynamic prices affect household electricity consumption?
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DOI：
10.1109/ptc.2015.7232493
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发表时间：
2015-09
期刊：
影响因子：
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通讯作者：
Simon Waczowicz;M. Reischl;V. Hagenmeyer;R. Mikut;Stefan Klaiber;P. Bretschneider;I. Konotop;D. Westermann
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文献类型：
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作者：
Simon Waczowicz;M. Reischl;V. Hagenmeyer;R. Mikut;Stefan Klaiber;P. Bretschneider;I. Konotop;D. Westermann
本文分析了电价信号对家庭用户用电行为的影响。它提出了一个系统的分析过程，包括数据预处理，聚合步骤和聚类方法。该分析过程应用于两个智能电表数据集（奥林匹克半岛项目，RESIDENS）。发现客户对同一价格信号的反应有很大的波动。
The article analyses effects of price signals on the consumption behavior of household electricity customers. It proposes a systematic analysis process consisting of data preprocessing, aggregation steps and clustering methods. This analysis process was applied to two smart meter datasets (Olympic Peninsula Project, RESIDENS). Large fluctuations in customers' response to the same price signal were detected.