How forecasts are created

Forecasting models incorporate various factors and statistical models applied across various time scales and scenarios.

Factors considered

Forecasting models incorporate various factors and statistical models applied across various time scales and scenarios.

  • Weather
    Temperature, humidity and other variables impact electricity demand, particularly for heating and cooling. 
  • Season
    Demand varies across seasons, with higher demand experienced during summer months through increased air conditioning use.
  • Day type
    Weekdays, weekends and public holidays influence demand patterns.
  • Economic conditions
    Population, industrial activity and economic growth can impact electricity demand.
  • Distributed Energy Resources (DER)
    Increasing adoption of solar PV, electric vehicles and energy storage systems is influencing both peak demand and minimum demand.

Different time horizons

Forecasts are generated for different lengths of time, including:

  • Short-term
    Half-hourly or hourly forecasts for real-time operations and scheduling.
  • Medium-term
    Daily or weekly forecasts for operational planning and resource allocation. 
  • Long-term
    Annual forecasts for network planning, infrastructure investments and resource adequacy assessments.

Scenario assessments

Forecasters often develop multiple scenarios across different power demand loads (base, high, low) to assess changeable factors such as DER adoption, economic growth and weather patterns. 

Why forecasts are important 

Developing accurate forecasts is essential in helping distributors and our industry partners for:
Network planning
To maintain adequate network capacity and prevent blackouts or brownouts
Resource allocation
For optimised dispatch of generation and other resources
Grid stability
Keeping the balance between supply and demand to maintain reliable grid operation
Investment planning
Guiding investment for network upgrades and expansions
Demand management
Building strategies to manage peak demand as well as reduce overall consumption
Network planning
To maintain adequate network capacity and prevent blackouts or brownouts
Resource allocation
For optimised dispatch of generation and other resources
Grid stability
Keeping the balance between supply and demand to maintain reliable grid operation
Investment planning
Guiding investment for network upgrades and expansions
Demand management
Building strategies to manage peak demand as well as reduce overall consumption
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What our forecasting told us

Forecasting electricity demand and loads has helped us to prepare for and manage:

  • An increase in areas prioritised for development by the NSW Government
  • The Western Sydney Aerotropolis which is showing increased load growth from 2022
  • A continuing focus on the redevelopment of existing areas, especially along rail corridors
  • A number of large customer applications and connections in the Western Sydney area, particularly data centres

 

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