Volume 1 Number 1 2025
Artificial Intelligence Revolution in Renewable Energy
Ahsan Habib1*, Anisul Islam Opy2
Paradise 1 (1) 1-8 https://doi.org/10.25163/paradise.1110425
Submitted: 01 July 2025 Revised: 09 September 2025 Accepted: 16 September 2025 Published: 18 September 2025
Abstract
Background: Artificial Intelligence (AI) is revolutionizing the renewable energy landscape by transforming how energy is generated, managed, and distributed. Its integration into renewable systems—such as solar, wind, and smart grids—addresses persistent challenges like intermittency, forecasting inaccuracies, and grid inefficiencies that hinder large-scale adoption of clean energy.
Methods: This review synthesizes recent advancements in AI technologies, including machine learning, deep learning, reinforcement learning, and optimization algorithms, and evaluates their applications in forecasting, predictive maintenance, energy storage management, and market optimization. Empirical examples from countries like Denmark, Australia, Germany, and the United States were examined to assess performance outcomes and implementation strategies.
Results: AI-based forecasting models improve renewable energy prediction accuracy by 40–50%, enhance grid efficiency by 10–15%, and reduce maintenance costs by up to 30%. Predictive maintenance using sensor data and anomaly detection decreases equipment downtime by 25–35%. Additionally, AI-optimized market participation strategies increase energy revenues by 10–20% through intelligent demand–supply balancing and adaptive trading mechanisms.
Conclusion: AI serves as a pivotal enabler for achieving global sustainability and net-zero targets. By uniting technological innovation with environmental responsibility and social inclusivity, AI paves the way for an efficient, equitable, and climate-resilient renewable energy future.
Keywords: Artificial Intelligence, Renewable Energy, Forecasting, Optimization, Smart Grids, Sustainability
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