Liang Zhu1, Junyang Liu1, Chen Hu1, Yanli Zhi2, Yupeng Liu3,*
Energy Engineering, Vol.121, No.9, pp. 2639-2653, 2024, DOI:10.32604/ee.2024.041441
Abstract Studying user electricity consumption behavior is crucial for understanding their power usage patterns. However, the traditional clustering methods fail to identify emerging types of electricity consumption behavior. To address this issue, this paper introduces a statistical analysis of clusters and evaluates the set of indicators for power usage patterns. The fuzzy C-means clustering algorithm is then used to analyze 6 months of electricity consumption data in 2017 from energy storage equipment, agricultural drainage irrigation, port shore power, and electric vehicles. Finally, the proposed method is validated through experiments, where the Davies-Bouldin index and profile coefficient More >
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