The SyGEPI project aims to develop a prototype smart energy management system for homes. Against the backdrop of the energy transition, where households are increasingly equipped with connected devices and distributed energy sources, managing energy consumption is becoming a key challenge in reducing costs, CO₂ emissions and the strain on electricity grids. SyGEPI aims to develop a solution capable of optimising, in real time, the operation of equipment with flexible consumption, using meter data and sensors deployed in the IMREDD Living Lab.

The project draws on IT, algorithmic, and experimental skills to analyse usage, predict consumption, and model user comfort. Learning algorithms will enable anticipatory needs, while optimisation modules will select the most beneficial strategies according to various criteria: cost, environmental impact, or network constraints. A decision support interface will offer users clear visibility of their consumption and potential savings.

Deployed over 12 months and funded by Scity, SyGEPI lays the groundwork for a replicable system on the scale of a typical household. This first prototype will pave the way for broader applications for smart homes and contribute to the territory's energy efficiency initiatives.