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dc.contributor.authorJavier Contreras*
dc.date.accessioned2021-02-11T13:52:42Z
dc.date.available2021-02-11T13:52:42Z
dc.date.issued2017*
dc.date.submitted2017-06-09 09:21:40*
dc.identifier22219*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/47849
dc.description.abstractThe new competitive electricity markets make it imperative for companies related to electricity production and retail to have tools in place for energy offers. Price forecasting is critical when making offers in electricity markets, since it is considerably more complex than demand forecasting and the level of uncertainty is higher. Knowing electricity prices beforehand makes it possible for generators to determine their optimal production strategy in order to maximize their profit. Similarly, consumers and retailers can plan their consumption and produce energy bids to maximize their utility. Therefore, price forecasting is instrumental both for producers, retailers and consumers.*
dc.languageEnglish*
dc.subjectTA170-171*
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technologyen_US
dc.subject.othertime series analysis*
dc.subject.otherElectricity price forecasting*
dc.subject.othercase studies*
dc.subject.otherstatistical methods*
dc.titleForecasting Models of Electricity Prices*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03842-414-7*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
oapen.relation.isbn9783038424154*
oapen.relation.isbn9783038424147*
oapen.pagesVIII, 250*
oapen.edition1st*


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