Pinal J. Patel, A. Solanki, Hardik Patel, Miral Thakkar, H. Shukla, S. Ranga
2026.4.30SSRG International Journal of Electrical and Electronics Engineering
tlooto Summary
The most evident issues of producing, regulating, and manufacturing renewable energy by AI are explored and the different AI techniques, including machine learning, deep learning, reinforcement learning, and hybrid techniques, and their applications to forecasting, optimization, predictive maintenance, and grid management are examined.
Abstract
In renewable energy systems, including wind, solar, Bio-Electrochemical, and Artificial Intelligence (AI), are increasingly being applied. In this paper, the most evident issues of producing, regulating, and manufacturing renewable energy by AI are explored. We examine the different AI techniques, including machine learning, deep learning, reinforcement learning, and hybrid techniques, and their applications to forecasting, optimization, predictive maintenance, and grid management. The review paper discusses the applications of solar, wind, and hydropower in different areas and identifies major concerns of data quality, cybersecurity, and scalability. AI not only makes things work better technologically but also promotes green innovation and assists us in achieving the Sustainable Development Goals. We summarize strategic suggestions and possible future research directions in this rapidly developing field.
Citation format
PATEL, Pinal J., et al. AI applications in renewable energy: A comprehensive review. SSRG International Journal of Electrical and Electronics Engineering, 2026, 13(4): 140–156.