Supply Function Prediction in Electricity Auctions
In the fast growing literature that addresses the problem of the optimal bidding behaviour of power generation companies that sell energy in electricity auctions it is always assumed that every firm knows the aggregate supply function of its competitors. Since this information is generally not available, real data have to be substituted by predictions. In this paper we propose two alternative approaches to the problem and apply them to the hourly prediction of the aggregate supply function of the competitors of the main Italian generation company.
|Date of creation:||01 Mar 2012|
|Contact details of provider:|| Postal: Via Bicocca degli Arcimboldi 8, 20126 Milano|
Web page: http://www.statistica.unimib.it
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:mis:wpaper:20120301. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Matteo Pelagatti)
If references are entirely missing, you can add them using this form.