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A comparative study of clustering techniques for electrical load pattern segmentation
2019
Renewable & Sustainable Energy Reviews
Smart meters have been widely deployed in power networks since the last decade. This trend has resulted in an enormous volume of data being collected from the electricity customers. To gain benefits for various stakeholders in power systems, proper data mining techniques, such as clustering, need to be employed to extract the underlying patterns from energy consumptions. In this paper, a comparative study of different techniques for load pattern clustering is carried out. Different parameters
doi:10.1016/j.rser.2019.109628
fatcat:ajoogyl7d5htncrii3fd4ri6ka