Optimizing renewable energy systems through artificial intelligence: Review and future prospects
University of Johannesburg · Abiola Ajimobi Technical University Ibadan
Abstract
The global transition toward sustainable energy sources has prompted a surge in the integration of renewable energy systems (RES) into existing power grids. To improve the efficiency, reliability, and economic viability of these systems, the synergistic application of artificial intelligence (AI) methods has emerged as a promising avenue. This study presents a comprehensive review of the current state of research at the intersection of renewable energy and AI, highlighting key methodologies, challenges, and achievements. It covers a spectrum of AI utilizations in optimizing different facets of RES, including resource assessment, energy forecasting, system monitoring, control strategies, and grid integration.…
Citation impact
- FWCI
- 74.16
- Percentile
- 100%
- References
- 186
Authors
5Topics & keywords
- Renewable energy
- Computer science
- Artificial intelligence
- Engineering