Data driven methods to provide enhanced energy services

The solution is conceived as a commercial off-the-shelf (COTS) solution, ready to be integrated within DMS (Distribution Management Systems), BMS/BEMS (Building Energy Management Systems), IoT middlewares and other facility operation software. A suite of web services that provides enhanced energy monitoring and scheduling capabilities. Monitoring methods are built on data mining methods and follow fault detection and isolation principles. Scheduling consists on optimal solutions provided by artificial intelligence methods. Data models allow to automatically build reference models for enhanced monitoring, forecasting and assets optimisation in a low voltage grid context or energy multi-vector scenarios.