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Load forecasting

EnergyForecaster.ai

Demand forecasts that learn from weather, calendars and history.

EnergyForecaster.ai predicts electricity load for utilities, large consumers and energy retailers. It blends historical demand, weather forecasts and calendar effects into short-term and day-ahead forecasts you can plan dispatch, procurement and peak-shaving around.

Capabilities

  1. 01

    Short-term & day-ahead

    Hourly and intra-day forecasts sized for operations, plus day-ahead outlooks for scheduling and market bids.

  2. 02

    Weather-driven

    Temperature, humidity, wind and cloud cover feed the model so heating and cooling swings show up before they hit the meter.

  3. 03

    Calendar intelligence

    Holidays, weekends, school terms and seasonal shifts are modelled explicitly rather than averaged away.

  4. 04

    Peak alerts

    Flag likely system or facility peaks early, so demand response and storage dispatch can be lined up ahead of time.

Built with

  • Machine learning
  • Time-series
  • PostgreSQL
  • Edge APIs

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