Machine Learning Approaches to Non-Intrusive Load Monitoring

Discover the innovative insights in Machine Learning Approaches to Non-Intrusive Load Monitoring by Roberto Bonfigli. Published by Springer Nature Switzerland AG in 2019, this 135-page paperback edition explores the critical intersection of smart grids and energy monitoring. Bonfigli delves into how machine learning can enhance user awareness of energy consumption in building environments while simultaneously offering utilities a comprehensive understanding of customer habits. This essential read is perfect for professionals and researchers interested in the advancements of energy management and smart technology applications. Equip yourself with the knowledge to navigate the future of energy efficiency and consumer engagement.