Comparative Evaluation of Non-Intrusive Load Monitoring Methods Using Relevant Features and Transfer Learning
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- Yuan, Yue & Chen, Zhihua & Wang, Zhe & Sun, Yifu & Chen, Yixing, 2023. "Attention mechanism-based transfer learning model for day-ahead energy demand forecasting of shopping mall buildings," Energy, Elsevier, vol. 270(C).
- Pengyi Liao & Jun Yan & Jean Michel Sellier & Yongxuan Zhang, 2022. "TADA: A Transferable Domain-Adversarial Training for Smart Grid Intrusion Detection Based on Ensemble Divergence Metrics and Spatiotemporal Features," Energies, MDPI, vol. 15(23), pages 1-18, November.
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Keywords
Non-Intrusive Load Monitoring (NILM); Home Electrical Appliances (HEAs); identification; feature selection; transfer learning; deep learning;All these keywords.
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