dc.contributor.author | Klæboe, Gro | |
dc.contributor.author | Eriksrud, Anders Lund | |
dc.contributor.author | Fleten, Stein-Erik | |
dc.date.accessioned | 2017-11-02T08:43:42Z | |
dc.date.available | 2017-11-02T08:43:42Z | |
dc.date.created | 2014-01-14T11:25:31Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Energy Systems, Springer Verlag. 2013, 6 (1), 43-61. | nb_NO |
dc.identifier.issn | 1868-3967 | |
dc.identifier.uri | http://hdl.handle.net/11250/2463609 | |
dc.description.abstract | In the trade-off between bidding in the day-ahead electricity market and the real time balancing market, producers need good forecasts for balancing market prices to make informed decisions. A range of earlier published models for forecasting of balancing market prices, including a few extensions, is benchmarked. The models are benchmarked both for 1 h-ahead and day-ahead forecast, and both point and interval forecasts are compared. None of the benchmarked models produce informative day-ahead point forecasts, suggesting that information available before the closing of the day-ahead market is efficiently reflected in the day-ahead market price rather than the balancing market price. Evaluation of the interval forecasts reveals that models without balancing state information overestimate variance, making them unsuitable for scenario generation. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Springer Verlag | nb_NO |
dc.title | Benchmarking time series based forecasting models for electricity balancing market prices | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 43-61 | nb_NO |
dc.source.volume | 6 | nb_NO |
dc.source.journal | Energy Systems, Springer Verlag | nb_NO |
dc.source.issue | 1 | nb_NO |
dc.identifier.doi | 10.1007/s12667-013-0103-3 | |
dc.identifier.cristin | 1089535 | |
dc.relation.project | Norges forskningsråd: 199908 | nb_NO |
dc.description.localcode | © Springer Verlag. The final publication is available at https://link.springer.com/article/10.1007%2Fs12667-013-0103-3. This is the authors' accepted and refereed manuscript to the article. | nb_NO |
cristin.unitcode | 194,63,20,0 | |
cristin.unitcode | 194,67,50,0 | |
cristin.unitname | Institutt for elkraftteknikk | |
cristin.unitname | Institutt for industriell økonomi og teknologiledelse | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |