A Review of Current Applications of Artificial Intelligence in Renewable Energy
The utilisation of renewable energy, especially solar and wind energy, has increased drastically in the past few years. At the same time, AI also revolutionises the world in every sector. This paper aims to provide the current use of AI in the field of renewable energy, such as wind energy, solar energy, as well as focus on the prediction, distribution of energy and efficiency of the system. There are various AI techniques used such as Machine Learning, Deep Learning, to improve the accuracy of forecasting, also for managing complex data. This paper provides the actual use of AI in the real world in the renewable energy sector, different tools and the latest advancements of AI for maximum utilisation the renewable energy. This review also provides current challenges for AI-driven renewable energy systems.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-07-20
- DOI
- https://doi.org/10.5281/zenodo.16200158
- Primary Topic
- Energy Load and Power Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00