Wind power curve modeling in complex terrain using statistical models
Author:
Affiliation:
1. Lawrence Livermore National Laboratory, P.O. Box 808, L-211, Livermore, California 94551, USA
2. National Renewable Energy Laboratory, Golden, Colorado 80401, USA
3. Infigen Energy, Dallas, Texas 75206, USA
Funder
Lawrence Livermore National Laboratory, Office of Science (LLNL)
Publisher
AIP Publishing
Subject
Renewable Energy, Sustainability and the Environment
Link
http://aip.scitation.org/doi/am-pdf/10.1063/1.4904430
Reference57 articles.
1. R. Wiser and M. Bolinger , “ 2012 Wind technologies market report,” U.S. Department of Energy, 2013, see http://emp.lbl.gov/sites/all/files/lbnl-6356e.pdf (last accessed December 15, 2014).
2. Atmospheric stability affects wind turbine power collection
3. Utility Wind Integration and Operating Impact State of the Art
4. Wind power forecasting uncertainty and unit commitment
5. Multiarea Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network
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