Prior to each optimisation, the
model is automatically primed with
the latest historical licence usage,
prevailing conditions and forecast
demands. Live telemetry data are
continually converted, validated
and corrected using a range of
user-configurable techniques, and
manipulated to provide flow, volume
and demand data as required
by the model.
Demand Forecasting
Demand forecasting models can be configured
for each demand zone to predict short-term
demand based on live telemetry data;
typically for a 24 to 48 hour forecast horizon,
but potentially up to 7 days ahead in order for
example to take advantage of weekday/weekend
variations in electricity tariffs or for
outage planning in the forthcoming week.
Demand forecasts are produced on request or
automatically to a user-defined schedule.