Energy & utilities
Energy load forecasting
Forecast demand by interval, feeder, zone, and customer class with weather-driven uncertainty.
Sound familiar?
- Peaks that arrive sharper than the day-ahead plan expected
- Weather updates changing load faster than schedules can follow
- Reserve bought at premium prices when the evening ramp surprises you
Electricity demand
system load, GW · Live forecast
Driver
Temperature
Driver
Humidity
Driver
Calendar
Forecast horizon
Minutes–1 year
Refresh cadence
5-minute or hourly
Built for
System operations · Trading
What you can predict
One forecast can answer several operational questions.
Connect meter history with weather, calendar, distributed generation, tariffs, and industrial activity to maintain operational and planning forecasts.
System and zonal load
Peak demand timing
Net load ramps
Weather-normalized demand
Questions teams need answered
- When will the system peak?
- Which zone carries the most uncertainty?
- How steep will the evening ramp be?
- What changed after the weather update?
Data that can improve the forecast
Start with the history you already have. Add internal or external drivers only when backtesting shows that they improve the forecast on held-out periods.
What-if planning
Test a change before committing to it.
Compare a proposed change with the current baseline. See the expected direction, timing, range, and the assumptions behind the result.
Temperature rises by three degrees
Recalculate peak load and reserve needs
Solar output drops
Compare net-load ramps by hour
Electricity demand
system load, GW · Scenario comparison
What if
Temperature rises by three degrees?
Driver
Temperature
Driver
Humidity
Driver
Calendar
From forecast to action
Keep the people making the decision in the loop.
01 · MONITOR
Forecast continuously
Refresh electricity demand on a 5-minute or hourly cadence as new data arrives.
02 · NOTIFY
Alert on meaningful changes
- Peak demand approaches available capacity
- A weather update materially changes load
03 · DECIDE
Put the result to work
Build a load forecast with your data.
Start with sample data, connect your own history, or talk with us about your target, horizon, and production requirements.