Solutions · EV Charging & e-Mobility

EV Charging & e-Mobility

Track charger uptime and utilization, and model the grid impact of charging load before it stresses the feeder.

Sound familiar?

What slows ev teams down today.

These are the gaps DOTA was built to close, without a multi-year systems program.

1

Charger uptime and utilization aren’t measured network-wide

2

Charging load impact on feeders is unknown until it hurts

3

Managed-charging and rate programs lack the data to settle

4

Fleet electrification plans have no load model behind them

Signature metrics
Charger uptimeUtilizationPeak load impact
Source systems
CPMS / OCPPAMIEMSGIS

Designed to fit your compliance reality

OCPPISO 15118Managed charging
Prebuilt apps

Where EV teams start.

Tailor a proven app to your fleet instead of starting from a blank canvas.

Electric power

Load & Demand Forecasting

Short- and long-term forecasts at system, feeder, and customer level, including the data-center and electrification load growth reshaping your peak.

Peak demand (MW)MAPECoincident peak
AMI/MDM · EMS · Weather · GIS
Electric power

Customer Energy Insights

Surface usage patterns, high-bill alerts, and rate-plan fit to power customer-facing programs.

Usage per customerLoad factorHigh-bill anomalies
AMI/MDM · CIS · Rate engine
Electric

Hosting Capacity & Interconnection

Model feeder thermal and voltage headroom to clear the DER interconnection queue faster.

Hosting capacity (MW)Feeder loading %Voltage rise
GIS · ADMS · Power-flow · AMI
Electric power

Rate Design & Bill Impact

Simulate TOU and demand-rate scenarios and quantify bill impacts across customer classes for rate cases.

Bill impact $/%TOU peak ratioClass revenue
MDM · CIS · Rate models

Put DOTA on your ev data.

See DOTA AI build a real utility app on your data in a 30-minute working session.