Research on ultra-short term forecasting technology of wind power output based on various meteorological factors

Wind power generation is the most important form of wind energy utilization, and it is also one of the fields with mature technology and the most commercial development prospect in the world. The wind potential of an area is not only reflected in wind speed, but also influenced by other environmental factors such as wind direction, temperature, air pressure and air density. Therefore, this paper comprehensively considers the historical output data, wind speed and other meteorological factors, selects the prediction factor with large correlation coefficient for information fusion, and constructs multi-dimensional data features based on a variety of meteorological data. The purpose is to establish a complete wind power conversion model, explore the rules of the dynamic change of wind power and improve the accuracy of power output prediction. Finally, we combined with the least square support vector machine (LSSVM) to realize the wind farm output prediction.