Electromobility Prediction Tool · quantifying EV demand and
flexibility for grid-aware decisions
Draw up to three areas on the map, pick a date, a session source
and a charging strategy, and compare
EV charging load, flexibility
and KPIs side by side.
Custom areasUp to 3, drawn on the map
Load profilesCharging power over two days
FlexibilityUp and down headroom
KPI dashboardsUser, grid, mobility, city, environment
StrategiesFive rules, three session sources
ReportsExcel export and REST API
Results are synthetic scenarios with assumed demand, not verified
forecasts of local charging.
Charging operatorsDSOs & city energy teamsMobility plannersResearchersPolicymakers
How to use
Pan/zoom the map and draw up to three areas.
Click Analyse.
Pick a date, session source and charging strategy.
Switch between Load profiles, Flexibility and KPIs, then download the report.
Cite: Ravanbach, B., Turhan, E., Wulff, N.,
Orfanoudakis, S., et al. (2024).
A dynamic prediction tool for vehicle-to-grid operation and
planning. IEEE MELECON.
