Processes

Perform demand forecasting

How perform demand forecasting are reshaped as AGI capability advances.

ProcessesPerform demand forecasting
Perform demand forecasting — illustrated

Business-as-Code

Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.

Perform demand forecasting sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Perform demand forecasting inherits.

Where Perform demand forecasting sits

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How the work flows

Trigger: A scheduled grid planning cycle or a significant shift in meteorological conditions initiates the demand forecast.

  1. Collect historical load data and smart meter readings
  2. Aggregate meteorological forecasts and climate trend data
  3. Incorporate economic indicators and regional demographic shifts
  4. Execute predictive models to estimate short and long-term electricity demand
  5. Analyze model outputs for peak load scenarios and potential anomalies
  6. Publish the finalized demand forecast to grid and generation operations

Outcome: An approved load forecast is delivered to grid operators and generation facilities to align power supply with expected demand.

Measured by

Forecast AccuracyMean Absolute Percentage ErrorPeak Demand VarianceForecast Generation Cycle Time