1 / 6

Load Forecasting Methodology Forum Update for the July 6, 2006 TAC Meeting

Load Forecasting Methodology Forum Update for the July 6, 2006 TAC Meeting. Historical Mean Average Percent Error. Historical Mean Average Percent Error. During 2005 the MTLF was being enhanced and tuned. April 17 9.79% 8.52%.

calla
Télécharger la présentation

Load Forecasting Methodology Forum Update for the July 6, 2006 TAC Meeting

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Load Forecasting Methodology Forum Update for the July 6, 2006 TAC Meeting

  2. Historical Mean Average Percent Error

  3. Historical Mean Average Percent Error • During 2005 the MTLF was being enhanced and tuned

  4. April 17 9.79% 8.52% • The new MTLF was put into production in late February • The old MTLF was put back into production in early May

  5. Summary of May 31, 2006 Load Forecasting Forum Discussion • Approximately thirty-five attendees • AREVA explained and answered questions regarding their Regression model • ERCOT explained how the model is utilized by RPRS and monitored during the day • ERCOT is currently utilizing a 1 STDEV adder to mitigate the risk of under forecasting. This adder is 1800 MW • 1 STDEV will statistically improve the odds of not under forecasting from 50% to 84%

  6. Future Development • AREVA will develop a new Coast (Houston) & North Central (Dallas) model • AREVA will enhance the model to allow input from multiple load forecast models. • ERCOT is analyzing a separate Neural Network load forecaster.

More Related