Spatial-temporal correlation analysis of mountain wind speed information in western Sichuan plateau based on improved K-mediods clustering method

In this study, the wind energy resources in the plateau and mountains of western Sichuan were evaluated by using the wind speed observation data in Sichuan Province and the meteorological station and anemometer data in western Sichuan. The data cover wind speed and direction information at different altitudes and time periods, providing a basis for the temporal and spatial distribution of wind energy potential. The study uses the improved K-mediods clustering method to analyze the wind speed data, revealing its temporal correlation, so as to deepen the understanding of the wind field dynamics. At the same time, the wind tower data were processed, the air density and wind power density were calculated, and the wind energy resource was further evaluated comprehensively. The research results show that the western Sichuan region has significant potential for wind energy development. The wind power density presents an obvious diurnal variation pattern, which provides a reference for the optimization of wind power operation strategies. The analysis of wind frequency distribution supports the reliability assessment of wind energy utilization. In addition, by estimating the hub height, specific information on the actual wind energy harvest is derived. These results provide an important reference for the development and utilization of wind energy resources and the planning of wind power projects in this region, which will help promote the development of sustainable energy.