Perspective-smart energy management system using machine learning

In today’s rapidly evolving world, the demand for energy is steadily increasing, while the need for sustainability and efficient resource utilization becomes ever more critical. Smart Energy Management Systems (SEMS) are poised to play a pivotal role in addressing these challenges. Leveraging the po...

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Bibliographic Details
Published in:E3S web of conferences 2024, Vol.540, p.8007
Main Authors: Balmiki, Vinod, C, Santhosh Kumar, Sharma, Praveen, Fezaa, Laith H.A., Almusawi, Muntather, Lakumanan, M.
Format: Article
Language:English
Subjects:
energy management
machine learning
smart home
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Summary:In today’s rapidly evolving world, the demand for energy is steadily increasing, while the need for sustainability and efficient resource utilization becomes ever more critical. Smart Energy Management Systems (SEMS) are poised to play a pivotal role in addressing these challenges. Leveraging the power of Machine Learning (ML), SEMS offer a promising avenue to optimize energy consumption, enhance grid reliability, and reduce carbon footprints. This review article provides an in-depth exploration of the current state of Smart Energy Management Systems empowered by Machine Learning, highlighting their key components, applications, challenges, and future prospects.
ISSN:2267-1242
2267-1242
DOI:10.1051/e3sconf/202454008007