Resilient data-driven non-intrusive load monitoring for efficient energy management using machine learning techniques

Abstract The integration of smart homes into smart grids presents numerous challenges, particularly in managing energy consumption efficiently. Non-intrusive load management (NILM) has emerged as a viable solution for optimizing energy usage. However, as smart grids incorporate more distributed ener...

书目详细资料
发表在:	EURASIP Journal on Advances in Signal Processing
Main Authors:	Mounica Nutakki, Srihari Mandava
格式:	文件
语言:	英语
出版:	SpringerOpen 2024-05-01
主题:	Smart grid Energy management systems (EMS) Non-intrusive appliance load monitoring (NIALM) Machine learning Deep learning
在线阅读:	https://doi.org/10.1186/s13634-024-01157-9

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