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.
· Jurnal Kejuruteraan · 0 citations