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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
