Non-intrusive load monitoring by using active and reactive power in additive Factorial Hidden Markov Models
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DOI: 10.1016/j.apenergy.2017.08.203
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- Zhang, Yuanshi & Qian, Wenyan & Ye, Yujian & Li, Yang & Tang, Yi & Long, Yu & Duan, Meimei, 2023. "A novel non-intrusive load monitoring method based on ResNet-seq2seq networks for energy disaggregation of distributed energy resources integrated with residential houses," Applied Energy, Elsevier, vol. 349(C).
- Wang, Zhongrui & Xu, Yonghai & He, Sheng & Yuan, Jindou & Yang, Heng & Pan, Mingming, 2023. "A non-intrusive method of industrial load disaggregation based on load operating states and improved grey wolf algorithm," Applied Energy, Elsevier, vol. 351(C).
- Lei Yao & Jinhao Wang & Chen Zhao, 2024. "Non-Intrusive Load Monitoring Based on Multiscale Attention Mechanisms," Energies, MDPI, vol. 17(8), pages 1-23, April.
- Kaneko, Naoya & Okazawa, Kazuki & Zhao, Dafang & Nishikawa, Hiroki & Taniguchi, Ittetsu & Murayama, Hiroyuki & Yura, Yoshinori & Okamoto, Masakazu & Catthoor, Francky & Onoye, Takao, 2024. "Non-intrusive thermal load disaggregation and forecasting for effective HVAC systems," Applied Energy, Elsevier, vol. 367(C).
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Keywords
Non-Intrusive Load Monitoring (NILM); Disaggregation; Active and reactive power; Factorial Hidden Markov Model (FHMM); Quadratic programming; Constrained optimisation;All these keywords.
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