A monitoring platform tool for energy communities optimization and AI applications

In recent times, the emerging concept of Renewable Energy Communities (RECs) requires for additional research on aggregates of consumers and producers, especially when dealing with the energy flow of many users with different electrical characteristics and requirements. The lack of data regarding actual energy consumptions of real user can determine a limit on the application of many advanced models and simulations, also being a possible limiting factor on the accuracy of the sizing procedures of both single-user microgrids and RECs. In this paper, a monitoring campaign with the aim of acquiring multiple user data is presented, also characterizing each user based on their electrical loads, habits, and unit features. A backend structure managing data flow from the monitoring devices to a main server has been developed, also making data accessible to each user. A download platform for research entities has also been presented, making all data available for future studies and other research purposes.