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Volume 13 | Issue 4 | Year 2026 | Article Id. IJEEE-V13I4P111 | DOI : https://doi.org/10.14445/23488379/IJEEE-V13I4P111

AI Applications in Renewable Energy: A Comprehensive Review

Pinal J. Patel, Amit Solanki, Hardik Patel, Miral Thakkar, Hemangini Shukla, Shashi Ranga

Received Revised Accepted Published
21 Jan 2026 28 Feb 2026 30 Mar 2026 30 Apr 2026

Citation :

Pinal J. Patel, Amit Solanki, Hardik Patel, Miral Thakkar, Hemangini Shukla, Shashi Ranga, "AI Applications in Renewable Energy: A Comprehensive Review," International Journal of Electrical and Electronics Engineering, vol. 13, no. 4, pp. 140-156, 2026. Crossref, https://doi.org/10.14445/23488379/IJEEE-V13I4P111

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.

Keywords

Artificial Intelligence, Renewable Energy, Solar Energy, Wind Energy, Energy Forecasting.

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