A Clustering Method for Rain-Cell Detection in Weather Nowcasting Approaches

This work focuses on the problem of forecasting the energy availability of renewable sources such as solar and wind in smart grids. To solve this problem, we propose to use weather radar information to make a short-time prediction of the weather conditions in the area where the renewable sources are located. For this purpose, an object tracking method will be used to make the predictions by using as cues the reflectivity and the velocity. This paper centers in an object modeling approach based on clustering, which will be used for the tracking algorithm.