Introduction
Sustainable Energy Systems: Planning, Integration and Management provides integrated perspectives on engineering, management, and technological perspectives to examine how renewable energy sources, smart grids, artificial intelligence, and advanced forecasting methods can be effectively planned, integrated, and managed within contemporary energy infrastructures.
The book begins by introducing AI-enabled smart grid systems and their role in improving energy efficiency, reliability, and grid optimisation. The book highlights the technology, storage and working principles behind major renewable energy sources, including solar, wind, hydro, geothermal, and biomass.
Chapters also focus on the use of computational intelligence in forecasting, management and optimisation of major energy sources. The book examines frameworks, principles, supply chains, and policy-driven approaches to sustainable energy governance. Real-world case studies on energy management provide practical insights into scalable and implementable solutions.
By combining theoretical foundations with applied case studies and modern digital technologies, this book serves as an essential resource for understanding the planning, integration, and management of sustainable energy systems in the era of intelligent and renewable-powered infrastructure.
Key Features
- - Comprehensive coverage of renewable energy technologies, including solar, wind, hydro, geothermal, biomass, and hydrogen energy.
- - Exploration of AI-enabled smart grids, energy forecasting, and intelligent energy management systems.
- - Integration of Industry 4.0, machine learning, and digital technologies in energy optimisation and planning.
- - Detailed discussion on hybrid renewable systems, energy storage, and grid integration strategies.
Readership:
Researchers, students, academics and professionals in renewable energy, electrical engineering, and sustainability studies.