Smart cyber-physical power systems : challenges and solutions / edited by Ali Parizad, Hamid Reza Baghaee, Saifur Rahman.

Includes index.

"This book explores how to solve smart power systems challenges by employing new techniques. These challenges can be addressed by Artificial intelligence (AI), Machine Learning (ML), Big Data, blockchain, information theory, IoT, and other methods. This book shows how these methods can be implemented in different applications of modern power systems (e.g., design, sizing of energy resources, energy management system, stability, reliability, cyber-security, control). The book addresses future trends related to smart power systems by applying AI/ML/DNN, Blockchain, Big Data, IoT, and information theory techniques. It also discusses how these techniques can be applied to different topics related to power systems, from the initial stages (e.g., design and planning) to the last ones (e.g., stability, security, control)."-- Provided by publisher.

About the Author
Ali Parizad, PhD, is a Postdoctoral Associate at the Advanced Research Institute (ARI) of Virginia Polytechnic Institute and State University, VA, USA. Leveraging his extensive academic background, he served as a Senior Data Scientist in the IDA Data Science & Machine Learning (DSML) Department at Shell Energy. He holds the position of Staff Power Systems Machine Learning Engineer at Thinklabs AI, where he tackles critical challenges in power systems with cutting-edge AI applications.

Hamid Reza Baghaee, PhD, is an Associate Research Professor at Amirkabir University of Technology, Tehran, Iran.

Saifur Rahman, PhD, is the founding director of the Advanced Research Institute at Virginia Tech, where he is the Joseph R. Loring Professor of Electrical and Computer Engineering.

Description based on print version record and CIP data provided by publisher; resource not viewed.