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.
AI for sustainable energy, intelligent energy systems, smart technologies for renewable energy, circular economy in solar energy, IoT applications in energy sector, AI-powered renewable management, sustainable energy transition, energy systems optimization with AI
- Sustainable Development Towards Renewable Energy: A Next Generation Energy
- Application of Intelligent Techniques for Renewable Energy Management
- State-of-the-art Artificial Intelligent Techniques for Distributed Smart Grids
- Critical Analysis of the Role of Solar PV and Advocating the need for a Circular Economy for Solar PV Recycling
- Resilience and Renewables: Intelligent Techniques for Integration and Strengthening Power Systems.
- A Comprehensive Review of IoT, Intelligent Systems, and Computing Applications in Enhancing Renewable Energy Sources
- Intelligent Techniques Demand-side Management and Flexibility
- How to Sustainably Balance Wind Energy
- Comprehensive Analysis of Conventional, Hybrid and Intelligent Fault Ride Through Capability of Grid Connected Doubly Fed Induction Generator Based Wind System