dc.contributor.author | Herranz Pintado, Rocio | es-ES |
dc.contributor.author | Muñoz San Roque, Antonio | es-ES |
dc.contributor.author | Villar Collado, José | es-ES |
dc.contributor.author | Campos Fernández, Francisco Alberto | es-ES |
dc.date.accessioned | 2016-01-15T11:16:50Z | |
dc.date.available | 2016-01-15T11:16:50Z | |
dc.date.issued | 2012-08-01 | es_ES |
dc.identifier.issn | 0885-8950 | es_ES |
dc.identifier.uri | https:doi.org10.1109TPWRS.2012.2185960 | es_ES |
dc.description | Artículos en revistas | es_ES |
dc.description.abstract | | es-ES |
dc.description.abstract | This paper proposes a methodology for determining the optimal bidding strategy of a retailer who supplies electricity to end-users in the short-term electricity market. The aim is to minimize the cost of purchasing energy in the sequence of trading opportunities that provide the day-ahead and intraday markets. A genetic algorithm has been designed to optimize the parameters that define the best purchasing strategy. The proposed methodology has been tested using real data from the Spanish day-ahead and intraday markets over a period of two years with a significant cost reduction with respect to trading solely in the day-ahead market. | en-GB |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | en-GB | es_ES |
dc.rights | | es_ES |
dc.rights.uri | | es_ES |
dc.source | Revista: IEEE Transactions on Power Systems, Periodo: 1, Volumen: online, Número: 3, Página inicial: 1204, Página final: 1213 | es_ES |
dc.subject.other | Instituto de Investigación Tecnológica (IIT) | es_ES |
dc.title | Optimal demand-side bidding strategies in electricity spot markets | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es_ES |
dc.keywords | | es-ES |
dc.keywords | Electricity markets, genetic algorithms, strategic bidding. | en-GB |