Comparison of Wind Power and Load Forecasting Error Distributions: Preprint

Research output: Contribution to conferencePaper


The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influencedby weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale iscritical in power system operations because it serves the unit commitment function for slow-starting conventional generators.
Original languageAmerican English
Number of pages10
StatePublished - 2012
Event2012 World Renewable Energy Forum - Denver, Colorado
Duration: 13 May 201217 May 2012


Conference2012 World Renewable Energy Forum
CityDenver, Colorado

NREL Publication Number

  • NREL/CP-5500-54384


  • Gaussian comparison
  • variable and uncertain power sources
  • wind
  • wind distribution modeling
  • wind generation
  • wind load forecasting


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