Buch, Englisch, 350 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: River Publishers Series in Energy Sustainability and Efficiency
Buch, Englisch, 350 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: River Publishers Series in Energy Sustainability and Efficiency
ISBN: 978-87-438-0984-5
Verlag: Taylor & Francis
This volume provides a comprehensive exploration of how intelligent computational techniques are transforming sustainable energy systems. As the world shifts from centralized, fossil-based infrastructures to decentralized, renewable-based models, technologies such as AI, machine learning, IoT, and advanced analytics are becoming essential to optimizing performance, enhancing resilience, and securing long-term sustainability.
The book covers:
• Principles of sustainable development and the transition to renewable energy.
• AI and ML applications for forecasting, optimization, and control in solar, wind, and hybrid systems.
• Intelligent strategies for distributed power, smart grids, and demand response.
• Circular economy imperatives in solar PV, from lifecycle analysis to closed-loop recycling.
• Fault detection, predictive maintenance, and self-healing networks for resilient power systems.
• AI-driven demand-side management, load forecasting, and flexibility optimization.
• Methods to balance wind variability with hybrid storage and intelligent dispatch.
By combining rigorous technical detail with practical applications, this book equips researchers, engineers, and policymakers with the tools to design and manage next-generation sustainable energy systems.
Zielgruppe
Academic, Postgraduate, and Professional Practice & Development
Autoren/Hrsg.
Weitere Infos & Material
1. Sustainable Development Towards Renewable Energy: A Next Generation Energy 2. Application of Intelligent Techniques for Renewable Energy Management 3. State-of-the-art Artificial Intelligent Techniques for Distributed Smart Grids 4. Critical Analysis of the Role of Solar PV and Advocating the need for a Circular Economy for Solar PV Recycling 5. Resilience and Renewables: Intelligent Techniques for Integration and Strengthening Power Systems. 6. A Comprehensive Review of IoT, Intelligent Systems, and Computing Applications in Enhancing Renewable Energy Sources 7. Intelligent Techniques Demand-side Management and Flexibility 8. How to Sustainably Balance Wind Energy 9. Comprehensive Analysis of Conventional, Hybrid and Intelligent Fault Ride Through Capability of Grid Connected Doubly Fed Induction Generator Based Wind System




