dc.contributor.author | Lysfjord, Magnus J. Walker | |
dc.date.accessioned | 2017-09-12T12:48:08Z | |
dc.date.available | 2017-09-12T12:48:08Z | |
dc.date.issued | 2017 | |
dc.identifier.uri | http://hdl.handle.net/11250/2454314 | |
dc.description | Master's thesis Renewable Energy ENE500 - University of Agder 2017 | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Universitetet i Agder ; University of Agder | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.subject | ENE500 | nb_NO |
dc.title | Modeling and Forecasting the Nord Pool Day-Ahead Power Market through Deep-Learning | nb_NO |
dc.type | Master thesis | nb_NO |
dc.subject.nsi | VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550 | nb_NO |
dc.source.pagenumber | IV, 30, [9] p. | nb_NO |