
Автор: Ali Parizad, Hamid Reza Baghaee, Saifur Rahman
Издательство: Wiley-IEEE Press
Год: 2025
Страниц: 612
Язык: английский
Формат: pdf (true)
Размер: 25.3 MB
A practical roadmap to the application of Artificial Intelligence (AI) and Machine Learning (ML) to power systems. In an era where digital technologies are revolutionizing every aspect of power systems, Smart Cyber-Physical Power Systems, Volume 2: Solutions from Emerging Technologies shifts focus to cutting-edge solutions for overcoming the challenges faced by cyber-physical power systems (CPSs). By leveraging emerging technologies, this volume explores how innovations like Artificial Intelligence, Machine Learning, blockchain, quantum computing, digital twins, and data analytics are reshaping the energy sector. This volume delves into the application of AI and Machine Learning in power system optimization, protection, and forecasting. It also highlights the transformative role of blockchain in secure energy trading and digital twins in simulating real-time power system operations. Advanced Big Data techniques are presented for enhancing system planning, situational awareness, and stability, while quantum computing offers groundbreaking approaches to solving complex energy problems.