Videos
Data-driven services in the Data Space
Want to learn more about the Enershare services designed by project partners? View the demos here.
Demand Response (Injected Frequency)
Project Partner: Fortum
Demonstration of the Demand Response service controlling a fleet of simulated EVSEs that are provided by the EV Aggregator service. The frequency signal is simulated so that it results in repeated full FCR-D Up activations and deactivations, and we can see that the EVSEs are responding to commands issued by the Demand Response service in real-time. The services are connected to each other using the TSG connector under the Enershare Dataspace.
Demand Response (Real Frequency)
Project Partner: Fortum
Demonstration of the Demand Response service controlling a fleet of simulated EVSEs that are provided by the EV Aggregator service. Additionally, the frequency signal used as input is provided by the Grid Frequency service, and it reflects the live frequency of the power grid in Sweden at the time of recording. Unfortunately, the frequency never entered the activation zone for FCR-D Up during the recording, so no activation/deactivation commands were observed and the simulated fleet kept its consumption constant. The services are connected to each other using the TSG connector under the Enershare Dataspace.
Electric Mobility Platform
Project Partner: Emotion
EMP enables a cooperation mechanism between DSOs, CPOs and EV users. DSO monitors the electricity grid and, thanks to accurate forecasting systems, is able to identify how, when and where to charge electric vehicles to avoid congestion problems. CPO will thus be able to provide a dynamic charging price based on DSO needs, to offer an advantageous charging price in charging stations located in congested areas and attract a greater number of EV users increasing its revenue.
Health insurance alarms for seniors living alone
Project Partner: Smart Energy Lab
Monitor energy consumption in households with seniors living alone, identify regular usage patterns, and trigger alarms when there are significant changes from these patterns.
Energy usage prediction service
Project Partner: ComSensus
A service that generates typical historical daily profiles for electrical and district heating consumption for various household types. It also offers next-day forecasts based on location data and weather forecast.