Machine Learning Strategies for Smart Microgrids

This IEEE PES Trending Technologies explores the intersection of microgrid and ML research, highlighting state-of-the-art solutions, ongoing research trends, and future opportunities for intelligent microgrid management within increasingly complex electricity landscapes. An optimization strategy based on machine learning employs a support vector machine for forecasting. . This research proposal presents a comprehensive framework for developing AI-enhanced Internet of Things (IoT) systems to optimize predictive maintenance strategies and improve affordability in smart microgrids. The proposed work addresses critical challenges in local energy systems by integrating. . [PDF]