£105.00

CRC Press Artificial Intelligence-Based Energy Management Systems for Smart Microgrids

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Description

Product Description 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. About the Author Baseem Khan (M’16) received his Bachelor of Engineering degree in Electrical Engineering from Rajiv Gandhi Technological University, Bhopal, India in 2008. He received his Master of Technology and Doctor of Philosophy degrees in Electrical Engineering from the Maulana Azad National Institute of Technology, Bhopal, India, in 2010 and 2014, respectively. Currently, he is working as a faculty member at Hawassa University, Ethiopia. His research interest includes power system restructuring, power system planning, smart grid technologies, meta-heuristic optimization techniques, reliability analysis of renewable energy systems, power quality analysis, and renewable energy integration. P. Sanjeevikumar is SMIEEE'15, FIETE'18, FIE'18, FIET'19 and Charted Engineer (CEng., India) received his Bachelor (First Class), Master (Distinction), Ph. D Degree in Electrical Engineering from the University of Madras, Pondicherry University (India, 2002, 2006), University of Bologna (Italy, 2012). Research work focused in the field of Power Electronics (multi-phase/multilevel converters). Editorial Board / Associate Editor of IEEE Systems Journal, IET PEL, subject editor of IET RPG, subject editor of IET GTD, IEEE Access, Turkish Journal of Electrical Engineering & Computer Science, Journal of Power Electronics (JPE-Korea), FACETS (Canada).Hassan Haes Alhelou (S’15) is a faculty member at Tisheen University, Lattakia, Syria. He is also a Ph.D. researcher at the Isfahan University of Technology (IUT), Isfahan, Iran. He is included in the 2018 Publons list of the top 1% best reviewer and researchers in the field of engineering. He was the recipient of the Outstanding Reviewer Award from Energy Conversion and Management Journal in 2016, ISA Transactions Journal in 2018, Applied Energy Journal in 2019, and many other awards. He was the recipient of the best young researcher in the Arab Student Forum Creative among 61 researchers from 16 countries at Alexandria University, Egypt, 2011. He has published more than 30 research papers in high-quality peer-reviewed journals and international conferences. He has also performed more than 160 reviews for high prestigious journals including IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, Energy Conversion, and Management, Applied Energy, International Journal of Electrical Power \& Energy Systems. He has participated in more than 15 industrial projects. His major research interests are Power systems, Power system dynamics, Power system operation, and control, Dynamic state estimation, Frequency control, Smart grids, Micro-grids, Demand response, Load shedding, and Power system protection.Om Prakash Mahela (M’13) was born in Sabalpura, Kuchaman City, Rajasthan, India, in 1977. He received the B.E. degree from the College of Technology and Engineering, Udaipur, India, in 2002, and the MTech. degree from Jagannath University, Jaipur, India, in 2013, and the Ph.D. degree from Indian Institute of Technology Jodhpur, India, in 2018,

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
07 June 2022
Listed Since
25 November 2021

Barcode

No barcode data available

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