Green Energy Integration with Emerging Energy Infrastructure and Artificial Intelligence
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Beschreibung
The global transition to sustainable energy systems is accelerating, fueled by rapid advancements in energy infrastructure and artificial intelligence (AI). This book presents selected papers from the 10th International Conference on Renewable Energy and Conservation (ICREC 2025). It explores cutting-edge research and emerging solutions for integrating green energy sources with modern energy systems. The focus is on the intersection of renewable energy systems (RESSs) with AI-driven optimization, grid technologies, and next-generation infrastructure. Topics covered include the transformation of energy from RESSs to smart grids, hybrid energy systems, and the application of AI and machine learning to grid management. The book also addresses computational optimization methods and strategic energy policies. This volume presents a multidisciplinary perspective by bridging research, industry, and policy, offering insights into technological innovations, decision-support systems, and real-world applications.
Green Energy Integration with Emerging Energy Infrastructure and Artificial Intelligence is a crucial resource for academics, engineers, policymakers, and professionals seeking to understand the evolving landscape of green energy integration. It covers policy strategies, modernization of energy infrastructure, and AI-driven energy management.
- Explores how AI-driven methods are revolutionizing energy integration, grid management, and infrastructure optimization;
- Focuses on new energy systems and smart grids, and provides a clear view of the future of green energy;
- Examines the future of sustainable energy systems through technical advancements, energy policies, and case studies.
The global transition to sustainable energy systems is accelerating, fueled by rapid advancements in energy infrastructure and artificial intelligence (AI). This book presents selected papers from the 10th International Conference on Renewable Energy and Conservation (ICREC 2025). It explores cutting-edge research and emerging solutions for integrating green energy sources with modern energy systems. The focus is on the intersection of renewable energy systems (RESSs) with AI-driven optimization, grid technologies, and next-generation infrastructure. Topics covered include the transformation of energy from RESSs to smart grids, hybrid energy systems, and the application of AI and machine learning to grid management. The book also addresses computational optimization methods and strategic energy policies. This volume presents a multidisciplinary perspective by bridging research, industry, and policy, offering insights into technological innovations, decision-support systems, and real-world applications.
Green Energy Integration with Emerging Energy Infrastructure and Artificial Intelligence is a crucial resource for academics, engineers, policymakers, and professionals seeking to understand the evolving landscape of green energy integration. It covers policy strategies, modernization of energy infrastructure, and AI-driven energy management.
Explores how AI-driven methods are revolutionizing energy integration, grid management, and infrastructure optimization Focuses on new energy systems and smart grids, and provides a clear view of the future of green energy Examines the future of sustainable energy systems through technical advancements, energy policies, and case studies
Autor*in
Philip Pong
Themen in »Green Energy Integration with Emerging Energy Infrastructure and Artificial Intelligence«
Clean power Energy grid Energy policy analysis Energy storage Energy policy Energy transition Green energy Grid infrastructure Renewable energy