This project employs regression techniques to predict real-time individual appliance power consumption, creating generalized models applicable to any household with metering data. This approach clarifies electrical measurement information for end-users, indicating appliance performance more accurately. Additionally, these generalized models support demand response campaigns by providing consumption curves for flexible assets.
Moreover, OPENTUNITY’s NILM also calculates the dynamic energy certification of the appliance. The European Commission defines a common procedure to calculate the label for each appliance. These labels often involve annual or per-cycle energy consumption values, calculated during testing periods by manufacturers under specific conditions. These theoretical values can be compared with real values from submetering or NILM calculations, providing insights into appliance performance using energy labeling.
