Application of Ensemble Sensitivity Analysis to Observation Targeting for Short-term Wind Speed Forecasting in the Washington-Oregon Region
- AWS Truewind, LLC, Albany, NY (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
To economically and reliably balance electrical load and generation, electrical grid operators, also called Balancing Authorities (BA), need highly accurate electrical power generation forecasts in time frames ranging from a few minutes to six hours ahead. As wind power generation increases, there is a requirement to improve the accuracy of 0- to 6-hour ahead wind power forecasts. Forecasts covering this short look-ahead period have depended heavily on short-term trends obtained from the actual power production and meteorological data of a wind generation facility. Additional data are often available from Numerical Weather Prediction (NWP) models and sometimes from off-site meteorological towers near wind generation facilities.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 1124982
- Report Number(s):
- LLNL-TR-458086
- Country of Publication:
- United States
- Language:
- English
Similar Records
Probabilistic Day-Ahead Forecasting Using an Analog Ensemble Approach for Wind Farm Grid Services
Use of Data Denial Experiments to Evaluate ESA Forecast Sensitivity Patterns