Electricity consumption pattern analysis beyond traditional clustering methods: A novel self-adapting semi-supervised clustering method and application case study
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DOI: 10.1016/j.apenergy.2021.118335
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- Wang, Yi & Ma, Jiahao & Gao, Ning & Wen, Qingsong & Sun, Liang & Guo, Hongye, 2023. "Federated fuzzy k-means for privacy-preserving behavior analysis in smart grids," Applied Energy, Elsevier, vol. 331(C).
- Zhou, Chenyu & Shen, Yun & Wu, Haixin & Wang, Jianhong, 2022. "Using fractional discrete Verhulst model to forecast Fujian's electricity consumption in China," Energy, Elsevier, vol. 255(C).
- Xie, Yutao & Xiao, Jiang-Wen & Wang, Yan-Wu & Dong, Jiale, 2024. "A new customer selection framework for time-based pricing program," Energy, Elsevier, vol. 290(C).
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Keywords
Household electricity consumption behaviour; Semi-supervised clustering; Metric learning;All these keywords.
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