Evaluation on Building End-user Energy Consumption Using Clustering Algorithm

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• 作者：Jianping Wu ; Jianing Zhao ; ^{zhaojn@hit.edu.cn" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Office building ; End-user ; Behaviour energy-saving ; Energy consumption evaluation ; Clustering
• 刊名：Procedia Engineering
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：121
• 期：Complete
• 页码：1144-1149
• 全文大小：416 K

文摘

An evaluation method for end-user energy consumption (EUEC) in building is developed, with this method energy comparison and incentives could be conducted, which is able to promote behaviour energy-saving of end-users. The developed method is based on the lateral comparison of end-users through k-means clustering algorithm. EUEC evaluation consists of overall evaluation and subentry evaluation. And there are two ways in overall evaluation, the first way is applied to evaluate the difference of energy consumption amounts between end-users; the second one is used to mine the distinction of end-user behaviours. EUEC evaluation was applied to an office building in Harbin, and the case study was about electrical consumption. The results show that clustering method is more suitable for EUEC evaluation than equal division method. Additionally, subentry evaluation was employed for 6 users with high overall consumption, and the subentry electrical consumptions with energy-saving potential were detected.