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M. Z. Daud

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Open access Aug 2026

Machine Learning-Based Non-Intrusive Load Monitoring for Three-Phase Smart Energy Consumption Disaggregation

The role of NILM is highlighted in supporting smarter energy monitoring, conservation initiatives, and sustainable energy management strategies for future smart grid systems, and the potential of advanced machine learning algorithms in NILM applications is underscored.

Ruiheng Tan, Musthafa Imran, M. Z. Daud et al. · 0 citations

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