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Artificial intelligence (AI) integration in the solar energy industry has created new opportunities for reshaping the renewable energy sector.The numerous ways that AI is transforming solar energy generation, management, and grid integration are examined in this research.The first section examines the significant breakthroughs in solar panel technology brought about by AI-driven innovations, which have enhanced efficiency, cost-effectiveness, and scalability.The significance of machine learning in improving solar energy grid integration, including grid stability, demand response, and load control, is highlighted in the second part.The final component focuses on AI's intelligent forecasting skills, which allow for precise predictions of solar power generation and efficient energy planning.The fourth segment focuses on AI-enabled solar energy management systems, which use machine learning and data analytics to transform raw data into insights that can be used to make better decisions and improve system performance.The promise of AI-powered solar farms, which use AI algorithms to maximize energy output, enable predictive maintenance, and improve overall system efficiency, is finally explored in the fifth segment.Overall, this article highlights how AI-driven technology can change the solar energy industry by making it more efficient, dependable, and sustainable.The results of this study demonstrate the significance of AI in accelerating the shift to a renewable energy future, where solar power plays a significant part in supplying the majority of the world's energy demands while reducing the negative consequences of climate change.
Mohammad et al. (Tue,) studied this question.