JemsSmart AI Energy Management and Monitoring (SAIEMM)
Priority Axis 2: Cooperating for greener and climate change resilient programme area
Operation start date: 15 January 2026
Operation completion date: 14 January 2028
Budget: EUR 931.027,74
Number of partners: 4
Operation purpose and expected achievements:
The overall objective of the project is to promote the installation of solar power plants for self-consumption among different energy consumer profiles, including households, SMEs and public institutions. With new approaches project team will establish an AI-powered cross-border solar adoption ecosystem (SAIEMM) that accelerates renewable energy deployment through data-driven decisions, advanced monitoring and automated ESG reporting.
The SAIEMM ecosystem will be built in two parallel but tightly connected parts:
1. Pilot Solar PV Plant installations on a diverse set of public buildings in the programme area are carefully selected to showcase the different generation/consumption patterns. These Pilot installations, combined with the advanced AI-driven monitoring, will enable creation of a seed set of real-world installation data which will be used as references and case-studies for demonstrating to SMEs and public organizations the viability of the self-consumption solar.
2. Design, development and deployment of SAIEMM Assistant will use the above-described novel approaches to provide a window into the wealth of data that the Pilot plants will provide. Coupled with advanced conversational AI, the Assistant will significantly reduce the friction for the potential adopters. Through careful design of user facing monitoring, optimization and alerting features, the Assistant will provide value to the self-consumption adopters even after the initial installation. Keeping the adopters in the ecosystem will in turn increase the amount of gathered data available for the analysis, which will in turn increase the usefulness and relevance of the provided guidance and suggestions from the Assistant. This will result in a self-improving feedback loop, where the more the platform is used, the more useful it becomes.
Beneficiaries:
Municipality of Čepin (HR) as Lead Partner will be in charge of coordination of project activities, organisation of project team meetings, reporting, transfer of experiences to other partners in the project, maintaining a stable partnership and will organise a Closing Conference, as well as Conference on Renewable Sources of Energy.
City of Sremska Mitrovica (RS) as a partner in the project will install a solar power plant in the sports centre in Sremska Mitrovica and the charger station for E-bikes at School for Applied studies Sirmium (Sirmium College). This charging station will be powered by electricity from its own power plant. The aforementioned activities are planned to achieve savings in total costs.
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (HR) will leverage their expertise in AI systems and power systems across multiple work packages, playing a central role in developing the AI-driven platform for power management and monitoring. The FERIT team’s multidisciplinary expertise in both AI and power systems positions them as critical contributors to the project’s core technological innovations and long-term sustainability.
College of Applied Studies Sirmium (RS) serves as a key research and implementation partner in the SAIEMM project, bridging technical knowledge with practical applications in renewable energy. Primary contribution focuses on integrating E-bike charging infrastructure with solar installations, demonstrating how transportation electrification can be seamlessly incorporated into renewable energy systems. SIRMIUM will procure specialized monitoring equipment and research workstations to analyse power generation data, contributing technical expertise throughout the development lifecycle. The campus will serve as a demonstration site for innovative solar-EV integration, collecting valuable data that enhances the AI platform’s recommendation capabilities.