Near-real-time plug load identification using low-frequency power data in office spaces: Experiments and applications
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DOI: 10.1016/j.apenergy.2020.115391
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Cited by:
- Botman, Lola & Lago, Jesus & Fu, Xiaohan & Chia, Keaton & Wolf, Jesse & Kleissl, Jan & De Moor, Bart, 2024. "Building plug load mode detection, forecasting and scheduling," Applied Energy, Elsevier, vol. 364(C).
- Sheng Hu & Gongjin Yuan & Kaifeng Hu & Cong Liu & Minghu Wu, 2023. "Non-Intrusive Load Identification Method Based on KPCA-IGWO-RF," Energies, MDPI, vol. 16(12), pages 1-14, June.
- 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).
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Keywords
Plug load identification; Intrusive load monitoring; Low sampling frequency; Smart plugs; Energy management; Office spaces;All these keywords.
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