The Role of AI in Optimizing Renewable Energy Systems for Sustainable Development
As the world faces the growing challenges of climate change and energy insecurity, the transition to renewable energyhas become a global imperative. Artificial Intelligence (AI) is playing a crucial role in optimizing renewable energy systems byimproving efficiency, reducing costs, and enhancing the integration of renewable energy sources into existing power grids. AIdriven technologies, such as machine learning algorithms, predictive analytics, and optimization models, are being used toforecast energy demand, optimize energy production, manage energy storage, and improve grid stability. This paper exploresthe role of AI in optimizing renewable energy systems, focusing on its applications in wind, solar, and energy storage. It alsoexamines the challenges and opportunities that AI presents in the context of sustainable development, highlighting the potentialfor AI to contribute to a cleaner, more sustainable energy future.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-03
- DOI
- https://doi.org/10.5281/zenodo.15333956
- Primary Topic
- Hybrid Renewable Energy Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00