Key points are not available for this paper at this time.
Abstract As a new type of clean energy, photovoltaic power generation has been widely used in production and life. Compared with traditional energy, because the energy of photovoltaic power generation comes from the sun, photovoltaic power generation is mainly affected by the weather, which leads to the intermittency and volatility of this energy and makes the supply and demand relationship of this kind of energy more complex and changeable. With the continuous development of artificial intelligence technology, the field of photovoltaic power generation forecasting is also gradually realizing intelligence. At present, the photovoltaic power generation prediction model based on machine learning and deep learning has gradually become mainstream, which can effectively improve prediction accuracy and efficiency. In addition, the use of artificial intelligence technology can also achieve real-time monitoring and diagnosis of the operating status of photovoltaic power generation systems, further improving the stability and reliability of the system. In the future, with the continuous development and application of artificial intelligence technology, the field of photovoltaic power generation prediction will usher in broader development prospects.
Ge et al. (Fri,) studied this question.