The ReConEdge project aims to demonstrate the possibilities enabled by the TeleSMEG platform by leveraging artificial intelligence (AI) at the edge (thanks to Multiaccess Edge Computing) and IoT data sources from Renewable Energy Communities (RECs) by analyzing and using technology-architectural components provided by telecom operators. These technologies provide more efficient, secure, and lower-impact communication and computational models through distributed technologies and optimized energy use. One of the goals of CERs is to reduce dependence on fossil fuels by making optimal use of available renewable energy sources. However, overproduction of such renewable energy can create balancing problems for smart-grid operators. The ReConEdge project proposes to make the best use of this energy by enabling the energy-balancing principle. The project proposes the implementation of a pilot using energy storage systems with controllers to manage charging based on unused energy. In parallel, an IoT platform is proposed to monitor energy production and consumption, processing the data with AI algorithms to optimize the use of renewable sources. Dissemination through conferences, publications of project results is expected.
