新能源发电预测方法分类及研究进展.

Under the construction of the country's modern energy system structure, the generating capacity of wind and photovoltaic is growing rapidly across the country. Wind, light, and other renewable energy generation methods are characterized by randomness and volatility, and when a large number of them are connected to the power grid, it poses a huge challenge to the stable operation of the power system as well as grid power smoothing. Accurate prediction of new energy power generation can not only improve the grid's ability to reduce the grid's scheduling burden, but also reduce the economic costs to a certain extent. Therefore, the research of new energy generation forecasting technology is particularly important. A review was conducted of the classification of several prediction methods that had been established in recent years, alongside the newly proposed methods for new energy generation prediction. The analysis delved into the differences in the application principles of the models and the limitations encountered in their practical applications. Furthermore, the review summarized the advantages and disadvantages of the various methods, identifying areas where improvements could be made. Lastly, the current challenges faced by renewable energy generation forecasting were analyzed, and potential directions for future solutions were proposed, offering valuable reference and guidance to researchers in renewable energy generation forecasting technologies. [ABSTRACT FROM AUTHOR]