dc.creator | Martínez Ramos, José Luis | es |
dc.creator | Gómez Expósito, Antonio | es |
dc.creator | Riquelme Santos, Jesús Manuel | es |
dc.creator | Troncoso Lora, Alicia | es |
dc.creator | Marulanda Guerra, Agustín Rafael | es |
dc.date.accessioned | 2020-05-29T10:02:11Z | |
dc.date.available | 2020-05-29T10:02:11Z | |
dc.date.issued | 2002 | |
dc.identifier.citation | Martínez Ramos, J.L., Gómez Expósito, A., Riquelme Santos, J.M., Troncoso Lora, A. y Marulanda Guerra, A.R. (2002). Influence of ANN-based market price forecasting uncertainty on optimal bidding. En Power System Computation Conference Sevilla (España): PSCC Central. | |
dc.identifier.uri | https://hdl.handle.net/11441/97247 | |
dc.description | POWER SYSTEMS COMPUTATIONS CONFERENCE (14.2002.SEVILLA) | es |
dc.description.abstract | In today’s deregulated markets, forecasting
energy prices is becoming more and more important.
In the short term, expected price profiles help market participants
to determine their bidding strategies. Consequently,
accuracy in forecasting hourly prices is crucial
for generation companies (GENCOs) to reduce the risk of
over/underestimating the revenue obtained by selling energy.
In this paper, the influence of the accuracy of ANN-based
hourly energy price forecasting on the bidding strategy of
GENCOs is assessed. First, a customized, recurrent Multilayer
Perceptron is developed and applied to the 24-hour
energy price forecasting problem, and the expected errors
are quantified. Then, price profiles are used to compute the
optimal bidding of realistic GENCOs, and the influence of
forecasting errors on both the bidding strategies and the expected
revenues is studied. | es |
dc.description.sponsorship | Ministerio de Educación y Ciencia PB97-0719 | es |
dc.description.sponsorship | Ministerio de Educación y Ciencia DPI2001-2612 | es |
dc.format | application/pdf | es |
dc.format.extent | 6 p. | es |
dc.language.iso | eng | es |
dc.publisher | PSCC Central | es |
dc.relation.ispartof | Power System Computation Conference (2002). | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Artificial neural networks | es |
dc.subject | Energy price forecasting | es |
dc.subject | Competitive markets | es |
dc.title | Influence of ANN-based market price forecasting uncertainty on optimal bidding | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Eléctrica | es |
dc.relation.projectID | PB97-0719 | es |
dc.relation.projectID | DPI2001-2612 | es |
dc.relation.publisherversion | https://pscc-central.epfl.ch/papers-repo | es |
dc.eventtitle | Power System Computation Conference | es |
dc.eventinstitution | Sevilla (España) | es |
dc.identifier.sisius | 5458933 | es |