An Efficient Energy Management System for Micro Grids Using Machine Learning Techniques

dc.contributor.guide	Ramaiah, Narayana Swamy
dc.coverage.spatial
dc.creator.researcher	Shreenidhi, H S
dc.date.accessioned	2024-11-11T11:30:32Z
dc.date.available	2024-11-11T11:30:32Z
dc.date.awarded	2023
dc.date.completed	2023
dc.date.registered
dc.description.abstract	Microgrids have emerged as a promising solution to enhance the reliability, efficiency, and sustainability of energy distribution in modern power systems. To harness their full potential, the development of robust and adaptive energy management systems (EMS) is imperative. This research focuses on the design and implementation of an innovative Energy Management System (EMS) for microgrids, leveraging the power of machine learning techniques. newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
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dc.identifier.uri	http://hdl.handle.net/10603/600483
dc.language	English
dc.publisher.institution	Department of Electronics and Communication Engineering
dc.publisher.place	Bengaluru
dc.publisher.university	Jain University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Electrical and Electronic
dc.title	An Efficient Energy Management System for Micro Grids Using Machine Learning Techniques
dc.title.alternative
dc.type.degree	Ph.D.