Holistic Approaches in Artificial Intelligence and Renewable Energy

Dear Colleagues,

The rapid advancement of Artificial Intelligence (AI) is creating remarkable opportunities to transform and optimize renewable energy systems. Holistic approaches that integrate AI with advanced technologies are opening new pathways to enhance energy efficiency and reduce environmental impact, offering innovative and sustainable solutions to the energy challenges of the future. 

This Special Issue, “Holistic Approaches in Artificial Intelligence and Renewable Energy”, aims to bring together research that explores the potential of AI to revolutionize the production, distribution, and consumption of renewable energy. Whether through predictive models, machine learning, or advanced quantitative methods, these comprehensive approaches are essential for the optimal management of evolving energy systems. 

We invite submissions that explore both theoretical foundations and real-world applications, including case studies, empirical analyses, and comprehensive reviews. Contributions that highlight the use of AI for optimizing energy resources and building resilient, sustainable energy systems are particularly encouraged. We encourage interdisciplinary research that connects AI, cybernetics, and energy economics to provide actionable insights for both academia and industry. Contributions that address the integration of AI in renewable energy systems aligned with the Sustainable Development Goals or apply Circular Economy principles to enhance sustainability in energy management are highly welcomed. Additionally, comparative studies and novel approaches that combine AI with energy investment optimization or focus on the financial aspects of renewable energy portfolios are also of great interest. 

Recommended topics include, but are not limited to, the following: 

• AI-driven optimization of renewable energy systems;
• Machine Learning applications in energy efficiency;
• Predictive models for energy consumption and production;
• Cybernetic approaches to energy systems modeling and control;
• Integration of AI in smart grid management;
• Holistic approaches to energy resource allocation;
• AI-enhanced resilience of energy infrastructures;
• Data-driven approaches for renewable energy forecasting;
• Intelligent automation in sustainable energy solutions;
• Systems thinking in AI applications for energy;
• AI-driven renewable energy solutions for Sustainable Development Goals (SDGs);
• Circular Economy principles applied to renewable energy systems;
• AI-based optimization of energy storage systems;
• Cyber-physical systems in renewable energy integration;
• Economic modeling of AI-driven renewable energy markets;
• Financial optimization in renewable energy investments using AI.

We look forward to receiving your contributions!

Dr. Ionut Nica
Prof. Dr. Nora Monica Chirita
Dr. Camelia Delcea
Guest Editors

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