Data Clustering for Accurate Energy Planning of a Photovoltaic Plant

This chapter deals with a statistical approach to manage sampled data coming from a photovoltaic installation. The proposed method adopts kmeans clustering and the normal density probability distribution. This allows the problem of PV plant energy assessment to be simplified with respect to obtaining the desired information by managing a large amount of experimental observations. The proposed methods represent useful tools for an appropriate energy planning in distributed generation systems.