Energy management in networked microgrids: A comparative study of hierarchical deep learning and predictive analytics techniques

The management of renewable energy is one of the most important areas in the ability to use resources efficiently and ensure stability in the production of energy and the grid. This paper focuses on a networked microgrid (MG) system which is composed of multiple energy sources including biomass, pho...

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Bibliographic Details

Published in:	Energy Conversion and Management: X
Main Authors:	Nima Khosravi, Adel Oubelaid, Youcef Belkhier
Format:	Article
Language:	English
Published:	Elsevier 2025-01-01
Subjects:	Energy management Distributed generation Renewable energy integration Networked microgrids Hierarchical deep learning Predictive analytics techniques
Online Access:	http://www.sciencedirect.com/science/article/pii/S2590174524003064