dc.contributor.author | Seguin, Sara | |
dc.contributor.author | Fleten, Stein-Erik | |
dc.contributor.author | Cote, Pascal | |
dc.contributor.author | Pichler, Alois | |
dc.contributor.author | Audet, Charles | |
dc.date.accessioned | 2017-12-14T09:20:35Z | |
dc.date.available | 2017-12-14T09:20:35Z | |
dc.date.created | 2017-01-13T14:51:20Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | European Journal of Operational Research. 2016, 259 (3), 1156-1168. | nb_NO |
dc.identifier.issn | 0377-2217 | |
dc.identifier.uri | http://hdl.handle.net/11250/2471589 | |
dc.description.abstract | This paper presents an optimization approach to solve the short-term hydropower unit commitment and loading problem with uncertain inflows. A scenario tree is built based on a forecasted fan of inflows, which is developed using the weather forecast and the historical weather realizations. The tree-building approach seeks to minimize the nested distance between the stochastic process of historical inflow data and the multistage stochastic process represented in the scenario tree. A two-phase multistage stochastic model is used to solve the problem. The proposed approach is tested on a 31 day rolling-horizon with daily forecasted inflows for three power plants situated in the province of Quebec, Canada, that belong to the company Rio Tinto. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Elsevier | 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.title | Stochastic short-term hydropower planning with inflow scenario trees | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 1156-1168 | nb_NO |
dc.source.volume | 259 | nb_NO |
dc.source.journal | European Journal of Operational Research | nb_NO |
dc.source.issue | 3 | nb_NO |
dc.identifier.doi | 10.1016/j.ejor.2016.11.028 | |
dc.identifier.cristin | 1426915 | |
dc.relation.project | Norges forskningsråd: 209697 | nb_NO |
dc.description.localcode | © 2016. This is the authors’ accepted and refereed manuscript to the article. Locked until 18.11.2018 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | nb_NO |
cristin.unitcode | 194,60,25,0 | |
cristin.unitname | Institutt for industriell økonomi og teknologiledelse | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |