Artificial Intelligence-Based Energy Management Systems for Smart Microgrids

by Baseem Khan (Editor), Sanjeevikumar Padmanaban (editor), Hassan Haes Alhelou (editor)

Modeling and optimization of energy management systems for micro and mini-grids play an important role in the fields of energy generation dispatch, and peak demand confliction with grid security. This comprehensive reference text provides an in-depth insight into these topics. The text discusses the use of metaheuristic and artificial intelligent (AI) algorithms for developing energy management systems with energy usage prediction for mini and microgrid systems. It covers important concepts including modeling of microgrid and energy management systems, blockchain-based microgrid energy management, optimal energy dispatch with energy management systems, and peak demand management with energy management systems. The text will be useful for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies.

386 pages, Paperback

Published October 4, 2024