Author Description

<p>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.<br> The book covers: <br> - Principles of sustainable development and the transition to renewable energy.<br> - AI and ML applications for forecasting, optimization, and control in solar, wind, and hybrid systems.<br> - Intelligent strategies for distributed power, smart grids, and demand response.<br> - Circular economy imperatives in solar PV, from lifecycle analysis to closed-loop recycling.<br> - Fault detection, predictive maintenance, and self-healing networks for resilient power systems.<br> - AI-driven demand-side management, load forecasting, and flexibility optimization.<br> - Methods to balance wind variability with hybrid storage and intelligent dispatch.<br> 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.</p>