Methods for modeling and forecasting wind characteristics

dc.contributor.advisor Petrutza Caragea
dc.contributor.advisor Mark Kaiser
dc.contributor.author Bramer, Lisa
dc.contributor.department Statistics (LAS)
dc.date 2018-08-11T03:49:58.000
dc.date.accessioned 2020-06-30T02:50:53Z
dc.date.available 2020-06-30T02:50:53Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2013
dc.date.embargo 2015-07-30
dc.date.issued 2013-01-01
dc.description.abstract <p>Wind is an important source of clean, renewable energy. In 2008, the U.S. Department of Energy (DOE) emphasized the need for better understanding of wind fields at the wind farm level , which would contribute to improvements in wind power forecasting and increase the viability of wind power as an alternative energy source This work addresses issue in wind speed forecasting, bivariate wind speed and direction forecasting, and spatial modeling of wind speed.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/etd/13605/
dc.identifier.articleid 4612
dc.identifier.contextkey 5050446
dc.identifier.doi https://doi.org/10.31274/etd-180810-3291
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath etd/13605
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/27792
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/etd/13605/Bramer_iastate_0097E_13984.pdf|||Fri Jan 14 19:56:56 UTC 2022
dc.subject.disciplines Statistics and Probability
dc.title Methods for modeling and forecasting wind characteristics
dc.type dissertation
dc.type.genre dissertation
dspace.entity.type Publication
relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
thesis.degree.level dissertation
thesis.degree.name Doctor of Philosophy
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