Guest Editors
Dr. Ali Najah Ahmed, Universiti Tenaga Nasional, Malaysia
Prof. Ahmed Elshafie, Universiti Malaya, Malaysia
Dr. Pavitra Kumar, University of Liverpool, UK
Summary
Renewable energy is vital for a sustainable future. It reduces greenhouse gas emissions, mitigating climate change's devastating effects. AI revolutionizes the energy sector by optimizing efficiency, reliability, and sustainability. Machine learning algorithms analyze vast datasets, enabling accurate demand forecasting, grid management, and predictive maintenance. AI-powered systems optimize energy generation and consumption, reducing costs and carbon emissions. Smart grids, energy storage, and renewable integration benefit from AI's ability to adapt and optimize operations in real-time. This proposed special issue aims to explore the challenges and opportunities of AI in energy sectors. We invite researchers from diverse fields to submit their papers and share their insights on this critical topic.
This special issue covers topics related to:
Sustainable Artificial Intelligence for the Energy Sectors
Hydropower operation optimization using AI,ML, and Metaheuristic Algorithm
Solar power generation forecasting using AI,ML, and Metaheuristic Algorithm
Wind power generation forecasting using AI,ML, and Metaheuristic Algorithm
Biomass/Bioenergy estimation using AI,ML, and Metaheuristic Algorithm
Artificial Intelligence Applications in Nuclear Energy
In conclusion, we invite researchers to submit their papers to this proposed special issue on Transforming Renewable Energy with Artificial Intelligence. We hope that this collection of papers will contribute to our understanding of the challenges and opportunities in this critical area and inform policy decisions that promote sustainable development.
Keywords
Artificial Intelligence
Machine Learning
Metaheuristic Algorithm
Optimization
Renewable Energy
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