Cluster Analysis of Smart Meter Load Based on Electricity Behavior Characteristics

Author:

Zhang Dachi,Zhao Xuanyuan,Guo Yunfeng,Yang Jingying,Liu Peng,Lu Yu

Publisher

Springer Nature Singapore

Reference9 articles.

1. Haoyuan, S., et al.: Research on voltage sag event type identification based on improved generative adversarial networks. In: Proceedings of the CSEE, 20 Mar 2021, pp. 1–13 (2021)

2. Yi, S., et al.: A comprehensive clustering method of user load characteristics and adjustable potential based on power big data. In: Proceedings of the CSEE, 20 Marh 2021, pp. 1–14 (2021)

3. Pan, L., et al.: Application of adaptive S-transform in power quality feature extraction. In: Proceedings of the CSEE, 20 Marh 2021, pp. 1–9 (2021)

4. Bo, L., et al.: A multi-dimensional typical scenarios generation algorithm for distribution network based on load clustering and network structure equivalence. In: Proceedings of the CSEE, 20 Mar 2021, pp. 1–12 (2021)

5. Quilumba, F.L., et al.: Using smart meter data to improve the accuracy of intraday load forecasting considering customer behavior similarities. IEEE Trans. Smart Grid 6(2), 911–918 (2015)

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