Advanced Analytics for Reliability and Resilience of Energy System

Advanced Analytics for Reliability and Resilience of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. The book provides a clear foundation in the fundaments of power systems statistics and reliability, including resilience principles and strategies, practical applications, and real-world solutions. It covers a wide range of renewable sources, including biomass and biomethane, solar, and hybrid-renewable systems. The AI tools presented cover forecasting, the internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety of applications to avoid power outrages, minimize disruption, and accurately assess system resilience.