Prelko
Forecasting Engine

From meter read to approved dispatch, in one loop.

The Prelko engine ingests your load history, weather feeds and demand signals, forecasts continuously, flags the peaks that matter and proposes the actions to meet them. Your operators approve every step that touches the grid.

Rolling 7-day forecastLive model
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Data flow

Four stages. One of them is always a person.

Prelko reads from your systems and returns forecasts and recommendations. It never writes to grid equipment.

Inputs

  • Historical load (SCADA, historian)
  • AMI and sub-meter reads
  • Weather observations and forecasts
  • Tariff, calendar and demand signals

Forecasting engine

  • Ensemble load models per site
  • Solar and wind generation models
  • Probabilistic confidence bands
  • Continuous re-training on actuals

Detection & recommendations

  • Peak windows with lead time
  • Deviation and ramp alerts
  • Dispatch and balancing proposals

Operator approval

  • Approve, modify or decline
  • Executed in your SCADA / EMS
  • Outcome logged for reporting
Integration

Reads from the systems you already run.

Prelko sits beside your SCADA, EMS or BMS rather than replacing it. Data comes in through read-only connectors or scheduled file drops, and forecasts go back out the same way.

SourceHow it connects
SCADA / historianRead-only export via OPC UA, historian API or scheduled CSV
AMI / meter dataMDM export or SFTP interval files (15 or 30 min)
WeatherManaged by Prelko: observations plus numerical forecasts for each site
RenewablesInverter or plant SCADA output, installed capacity registers
OutputsWeb console, REST API, CSV and PDF exports, email alerts

Weather-aware

Temperature, humidity, cloud cover and wind at each site.

Signal-aware

Tariff periods, holidays, shifts and demand-response events.

Self-correcting

Every interval scored against actuals and fed back.

Human-approved

No dispatch leaves Prelko without an operator's decision.

Bring a month of load data. Leave with a forecast.

In a demo we run Prelko against a sample of your own history and show where the next peaks sit.