A Simulation on Graph-based Learning for Energy Generation-consumption Prediction in Energy Communities

Abstract

Energy communities make it possible to take advantage of renewable resources wherever they are and activate citizen participation in energy production. Many energy generation and consumption prediction works base their research on well-known tools such as time series regression. In this work we come to show the usefulness of a tool, which, although it is known, is not known in the domain in which it is presented. Results demonstrating its usefulness are shown and various applications in the field are listed.