Show simple item record

dc.contributor.authorKiesel, Rüdiger
dc.contributor.authorParaschiv, Florentina
dc.date.accessioned2017-12-19T12:37:23Z
dc.date.available2017-12-19T12:37:23Z
dc.date.created2017-03-10T20:38:10Z
dc.date.issued2017
dc.identifier.citationEnergy Economics. 2017, 64 77-90.nb_NO
dc.identifier.issn0140-9883
dc.identifier.urihttp://hdl.handle.net/11250/2472886
dc.description.abstractThe trading activity in the German intraday electricity market has increased significantly over the last years. This is partially due to an increasing share of renewable energy, wind and photovoltaic, which requires power generators to balance out the forecasting errors in their production. We investigate the bidding behaviour in the intraday market by looking at both last prices and continuous bidding, in the context of a reduced-form econometric analysis. A unique data set of 15-minute intraday prices and intraday-updated forecasts of wind and photovoltaic has been employed. Price bids are explained by prior information on renewables forecasts and demand/supply market-specific exogenous variables. We show that intraday prices adjust asymmetrically to both forecasting errors in renewables and to the volume of trades dependent on the threshold variable demand quote, which reflects the expected demand covered by the planned traditional capacity in the day-ahead market. The location of the threshold can be used by market participants to adjust their bids accordingly, given the latest updates in the wind and photovoltaic forecasting errors and the forecasts of the control area balances.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleEconometric analysis of 15-minute intraday electricity pricesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber77-90nb_NO
dc.source.volume64nb_NO
dc.source.journalEnergy Economicsnb_NO
dc.identifier.doi10.1016/j.eneco.2017.03.002
dc.identifier.cristin1457502
dc.description.localcode© 2017. This is the authors’ accepted and refereed manuscript to the article. Locked until 10.3.2019 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.unitcode194,60,10,0
cristin.unitnameNTNU Handelshøyskolen
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal