Consumers care about the origin of their electricity.
Show it to them using our datafeed and API.
By planning ahead, devices could use electricity at better times.
Forecasting enables lower emissions, higher renewables and cheaper electricity.
Marginal carbon intensity
Percentage of renewable
Detailed breakdown per source
Standardized across regions
Includes imports & exports
High availability guaranteed
with Forecast (72h)
|Carbon intensity (in gCO2eq/kWh)||€50||€150|
|+ Origin of power consumed by fuel source (35% coal, 25% wind...)||€70||€170|
|Marginal carbon intensity (in gCO2eq/kWh)||€200||Included|
Energy flows quickly and with little friction inside power grids, and thus, a small change in production or exchanges will affect the source of electricity consumed thousands of kilometers away.
We have to process more than 2000 datapoints per minute using our coupled flow equations in order to compute the physical origin of electricity at each point of the electrical grid.
Using advanced Machine Learning techniques learning from our vast amount of data, we detect patterns and correlations in space and time, allowing us to forecast the next 72 hours globally and in real-time.