01851nam 2200433I 450 991070394340332120140318144227.0(CKB)5470000002446913(OCoLC)873843414(EXLCZ)99547000000244691320140318d2013 ua 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierAssessing long-term wind conditions by combining different measure-correlate-predict algorithms preprint /J. Zhang [and three others]Golden, Colorado :National Renewable Energy Laboratory,2013.1 online resource (11 pages) color illustrationsNREL/CP ;5500-57647Title 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).Assessing long-term wind conditions by combining different measure-correlate-predict algorithms Wind powerSimulation methodsWind power plantsLocationMathematical modelsWindsSpeedMeasurementWind powerSimulation methods.Wind power plantsLocationMathematical models.WindsSpeedMeasurement.Zhang J.1393143National Renewable Energy Laboratory (U.S.),GPOGPOBOOK9910703943403321Assessing long-term wind conditions by combining different measure-correlate-predict algorithms3476119UNINA