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Modeling and Forecasting the Nord Pool Day-Ahead Power Market through Deep-Learning

dc.contributor.authorLysfjord, Magnus J. Walker
dc.date.accessioned2017-09-12T12:48:08Z
dc.date.available2017-09-12T12:48:08Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/11250/2454314
dc.descriptionMaster's thesis Renewable Energy ENE500 - University of Agder 2017nb_NO
dc.language.isoengnb_NO
dc.publisherUniversitetet i Agder ; University of Agdernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectENE500nb_NO
dc.titleModeling and Forecasting the Nord Pool Day-Ahead Power Market through Deep-Learningnb_NO
dc.typeMaster thesisnb_NO
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550nb_NO
dc.source.pagenumberIV, 30, [9] p.nb_NO


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