Electricity clustering framework for automatic classification of customer loads
作者：
Highlights：
• An automatic clustering of electricity customers’ loads is proposed.
• A new set of clustering features satisfies company electricity experts.
• The importance of the clustering algorithm selection is highlighted.
• The final solution is discussed with domain experts.
摘要
•An automatic clustering of electricity customers’ loads is proposed.•A new set of clustering features satisfies company electricity experts.•The importance of the clustering algorithm selection is highlighted.•The final solution is discussed with domain experts.
论文关键词：Electricity consumption,Hourly demand,Load profiling,Time-series clustering,Clustering features selection,Tree classification methods
论文评审过程：Received 11 October 2016, Revised 18 May 2017, Accepted 19 May 2017, Available online 23 May 2017, Version of Record 26 May 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.049
