A wind power forecasting system to optimize grid integration

AMS Citation:
Mahoney, W. P., and Coauthors, 2012: A wind power forecasting system to optimize grid integration. IEEE Transactions on Sustainable Energy, 3, 670-682, doi:10.1109/TSTE.2012.2201758.
Date:2012-10-01
Resource Type:article
Title:A wind power forecasting system to optimize grid integration
Abstract: Wind power forecasting can enhance the value of wind energy by improving the reliability of integrating this variable resource and improving the economic feasibility. The National Center for Atmospheric Research (NCAR) has collaborated with Xcel Energy to develop a multifaceted wind power prediction system. Both the day-ahead forecast that is used in trading and the short-term forecast are critical to economic decision making.
Peer Review:Refereed
Copyright Information:Copyright 2012 IEEE.
OpenSky citable URL: ark:/85065/d73n24qf
Publisher's Version: 10.1109/TSTE.2012.2201758
Author(s):
  • William Mahoney - NCAR/UCAR
  • K. Parks
  • Gerry Wiener - NCAR/UCAR
  • Yubao Liu - NCAR/UCAR
  • William Myers - NCAR/UCAR
  • Juanzhen Sun - NCAR/UCAR
  • Luca Delle Monache - NCAR/UCAR
  • David Johnson - NCAR/UCAR
  • Sue Ellen Haupt - NCAR/UCAR
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