Vis enkel innførsel

dc.contributor.authorAbrahamsen, Erik Boye
dc.contributor.authorBrastein, Ole Magnus
dc.contributor.authorLie, Bernt
dc.date.accessioned2019-01-23T12:33:57Z
dc.date.available2019-01-23T12:33:57Z
dc.date.created2018-12-04T18:33:08Z
dc.date.issued2018
dc.identifier.citationLinköping Electronic Conference Proceedings. 2018, (153), 169-176.nb_NO
dc.identifier.issn1650-3686
dc.identifier.urihttp://hdl.handle.net/11250/2581934
dc.description.abstractForecasting weather conditions is important for, e.g., operation of hydro power plants and for flood management. Mechanistic models are known to be computationally demanding. Hence, it is of interest to develop models that can predict weather conditions faster than traditional meteorological models. The field of machine learning has received much interest from the scientific community. Due to its applicability in a variety of fields, it is of interest to study whether an artificial neural network can be a good candidate for prediction of weather conditions in combination with large data sets. The availability of meteorological data from multiple online sources is an advantage. In order to simplify the retrieval of data, a Python API to read meteorological data has been developed, and ANN models have been developed using TensorFlownb_NO
dc.description.abstractMachine Learning in Python for Weather Forecast based on Freely Available Weather Datanb_NO
dc.language.isoengnb_NO
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.titleMachine Learning in Python for Weather Forecast based on Freely Available Weather Datanb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber169-176nb_NO
dc.source.journalLinköping Electronic Conference Proceedingsnb_NO
dc.source.issue153nb_NO
dc.identifier.doi10.3384/ecp18153169
dc.identifier.cristin1639147
cristin.unitcode222,58,2,0
cristin.unitnameInstitutt for elektro, IT og kybernetikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Navngivelse-Ikkekommersiell 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Navngivelse-Ikkekommersiell 4.0 Internasjonal