In this paper we present the Energy Community Data Platform (ECDP), a middleware platform designed to support the collection and the analysis of big data about the energy consumption inside local energy communities, with the aim of encouraging a more conscious use of energy by the users. The big data platform, commissioned by ENEA, acquires data of different nature (e.g., describing the measurement of the energy consumption and production, weather conditions, etc.) in a heterogeneous format from multiple sources. We describe the architecture of ECDP, designed to support a Data Integration Workflow and a Data Lake Workflow, conceived for different uses of the data, motivating our technological choices. Then, we illustrate several dataflows reflecting real-world use cases, which highlight the advantages offered by the designed architecture for different types of users. The main strengths of the presented big data platform are flexibility and scalability (guaranteed by its modular architecture), which allow its applicability to any type of local energy community.
A Big Data Platform for the Smart Monitoring of Local Energy Communities / Gagliardelli, Luca; Zecchini, Luca; Beneventano, Domenico; Simonini, Giovanni; Bergamaschi, Sonia; Orsini, Mirko; Magnotta, Luca; Mescoli, Emma; Livaldi, Andrea; Gessa, Nicola; De Sabbata, Piero; D’Agosta, Gianluca; Paolucci, Fabrizio; Moretti, Fabio. - 3135:(2022). Published in the Workshop Proceedings of the EDBT/ICDT 2022 Joint Conference (March 29–April 1, 2022, Edinburgh, UK) (Intervento presentato al convegno 1st International Workshop on Data Platform Design, Management, and Optimization tenutosi Online nel 29/03/2022.