Method and device for clustering forecasting of electric vehicle charging load

A device for clustering forecasting of electric vehicle charging load, comprising:

• A data acquisition module, used for collecting electric vehicle charging load data on a historical date and weather information data related to that historical date;
• A data processing module, used for preprocessing and then normalizing the collected data to obtain a new data set;
• An acquisition module of similar daily load set of the date to be forecast, used for performing fuzzy C-means clustering on the normalized data, and taking an actual load measurement point as a fuzzy clustering index to construct a similar daily load set of the date to be forecast;
• An acquisition module of the least square SVM forecasting model, used for constructing and training a least-square SVM (support vector machine) forecasting model according to the similar daily load set;
• An acquisition module of the load on the date to be forecast, used for inputting load values at the same time in three days ahead of the date to be forecast and the weather information data related to the three days into the trained least-square SVM forecasting model, and outputting a forecast load.