A Big Data Platform for the Management of Local Energy Communities Data
Sonia Bergamaschi, Luca Gagliardelli · 2023
In this paper we present a big data platform designed to collect and analyze energy data of Local Energy Communities, with the goal to improve the conscious use of energy by the users. The platform, originally commissioned by ENEA, is designed to acquire and manage different kinds of data (e.g., energy consumption and production, weather data, etc.) coming from multiple sources in many formats. In this work, we present the designed architecture, and several dataflows which show the real-use cases that highlight the main strengths offered by our platform.