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2025	FedTP-NILM: A Federated Time Pattern-Based Framework for Privacy-Preserving Distributed Non-Intrusive Load Monitoring Machines Chi Zhang, Biqi Liu, Xuguang Hu, Zhihong Zhang, Zhiyong Ji, Chenghao Zhou
2025	Federated Online Learning for adaptive load forecasting across decentralized nodes International Journal of Electrical Power & Energy Systems Mohamed Ahmed T.A. Elgalhud, Mohammad Navid Fekri, Syed Mir, Katarina Grolinger
2024	A Robust and Privacy-Aware Federated Learning Framework for Non-Intrusive Load Monitoring IEEE Transactions on Sustainable Computing Vidushi Agarwal, Omid Ardakanian, Sujata Pal
2023	On enabling collaborative non-intrusive load monitoring for sustainable smart cities Scientific Reports Yunchuan Shi, Wei Li, Xiaomin Chang, Ting Yang, Yaojie Sun, Albert Y. Zomaya
2023	Contextual Sequence-to-Point Deep Learning for Household Energy Disaggregation IEEE Access Mohammed Ayub, El-Sayed M. El-Alfy
2023	Towards Convergence in Federated Learning via Non-IID Analysis in a Distributed Solar Energy Grid Electronics Hyeongok Lee
2023	Effective Feature Selection and Deep Learning-Based Classification for Non-Intrusive Load Monitoring Electric Power Components and Systems Mamoon Elahi Barbhuyan, Pradyut Kumar Goswami
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