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