Comprehensive Review of Artificial Intelligence Based Solar Power Generation Forecasting: Addressing Challenges and Future Prospects

In an era characterized by a growing commitment to sustainable energy solutions, this extensive review provides an in-depth investigation of artificial intelligence's (AI) potential applications in the solar power generation forecasting. This article covers review of both the advancements achieved and the problems or issues encountered within this domain. The review explores into the modern AI models and methodologies, enlightening their crucial roles in improving the precision and efficiency of solar power predictions. Additionally, the article outlines the primary challenges hampering the widespread integration of AI in this context, incorporating issues such as limited data availability, the need for more understandable AI models, and adapting AI solutions to various conditions and environments. Furthermore, it provides insights into the promising future prospects, including the development of innovative hybrid models and the integration of AI with intelligent grid systems. This review underscores the profound transformative influence of AI in reforming the landscape of solar power generation forecasting, offering new opportunities for sustainable energy planning, effective management, and ultimately facilitating the global transition towards renewable energy sources.