Symbolic AI and Digital Twin for Energy Monitoring and Operational Deviation Detection

This project develops a proprietary intelligent system that combines interoperable hardware and software to monitor the energy performance of industrial equipment and detect operational deviations in real time. By using symbolic AI, fuzzy logic, and digital twin technology, it enables analysis, alerting, and operational optimisation even in the absence of Big Data. The solution is particularly relevant for SMEs seeking to improve efficiency and align with emerging European requirements on energy efficiency and predictive maintenance.