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This application calculates a baseline for different electrical loads to verify demand response (DR) delivery. One day soon, to reach a carbon-free power system, electricity system operators will require millions of baselines for their networks.

Machine learning algorithms are used to calculate accurate baselines and disaggregate the demand into important components, such as photovoltaic production, electric heating and electric vehical charging. Algorithms are robust against missing data and can cope with an arbritrary number of metering points reporting in any time period. This tool is fully automated, updating a range of databases and model solutions in real-time as new data is made available and aggregator resources change.

Today, this application is used in research projects, including EcoGrid 2.0 and Optimal Voltage Regulation in Medium Voltage Networks. Here is a video introducing EcoGrid 2.0 and the concept of flexible demand: