National Electricity Forecasting Report (NEFR) 2016

The 2016 NEFR provides AEMO’s independent electricity consumption, and maximum and minimum demand forecasts for the National Electricity Market (NEM) and each of the five NEM regions, namely New South Wales (including Australian Capital Territory), Queensland, South Australia, Tasmania, and Victoria, over a 20-year outlook period.

Key changes to 2016 NEFR: 

  • Minimum demand forecasts provided for all NEM regions.
  • Shorter main report with key insights. Regional data available via the Forecasting Dynamic Interface.
  • Updated scenarios, with weak, neutral and strong sensitivities.

2016 National Electricity Forecasting Report (NEFR)


2016 National Electricity Forecasting Report Infographic and Media Release

This infographic uses information from the National Electricity Forecasting Report.

2016 National Electricity Forecasting Report (NEFR) - Infographic

2016 National Electricity Forecasting Report – AEMO Media Release

 Forecasting Dynamic Interface

A web-based portal to view graphs and key results. Users may apply their own filters and download 2016 National Electricity Forecasting Report data. In addition, users may download key input data, such as:

  • Population projections
  • Connection projections
  • Retail price developments
  • Energy efficiency projections 

http://forecasting.aemo.com.au/

2016 National Electricity Forecasting Report Methodolgy Information Paper

A detailed report on the methodology and assumptions for each component of the 2016 National Electricity Forecasting Report.
This report will be available later in 2016.

2016 National Electricity Forecasting Report Chart Pack

PDF document containing annual consumption, maximum and minimum demand for all NEM regions, for all scenarios. It also shows comparisons with 2015 NEFR forecasts.

2016 National Electricity Forecasting Report (NEFR) - Chart Pack

 Supplementary Reports

Independent consultant reports providing selected inputs that have been used, along with many other sources of data, in the long-term modelling for the 2016 NEFR:

 Previous Reports

Please click here to access the NEFR report and supporting information archive