Assessing long-term wind conditions by combining different measure-correlate-predict algorithms
Subtitle: preprint
By: J. Zhang [and three others]
Contributors: National Renewable Energy Laboratory (U.S.)
Series: NREL/CP -- 5500-57647; Conference paper (National Renewable Energy Laboratory (U.S.)) -- NREL/CP-5500-57647.
Publisher: National Renewable Energy Laboratory
Published: 2013
Place of publication: Golden, Colorado
Language: eng
Number of pages: 11
Subjects: Wind power; Simulation methods; Wind power plants; Location; Mathematical models; Winds; Speed; Measurement
Notes: Title from title screen (viewed on Mar. 18, 2014).

"August 2013."

"To be presented at the ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Portland, Oregon, August 4-7, 2013."

Includes bibliographical references (pages 10-11).

DE-AC36-08GO28308