APPARATUS AND METHOD FOR PREDICTING AVAILABILITY DATA OF ELECTRIC VEHICLE CHARGING POINTS

An apparatus and method for predicting availability data of electric vehicle charging points (EVCPs) are provided. The apparatus receives EVCP data associated with each of a plurality of EVCPs. The apparatus determines clustering features for each of the plurality of EVCPs based on the EVCP data. The clustering features comprise a duration parameter, a predefined charging status parameter, a charging gap parameter, or a combination thereof. The apparatus generates clusters using a first model based on the clustering features. Each of the clusters comprises at least one of the plurality of EVCPs. The apparatus trains a second model to predict availability data associated with each EVCP within each of the clusters based on a data point associated with one or more EVCPs within said cluster.