Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/31409
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Jurado, Sergio | por |
dc.contributor.author | Peralta, J. | por |
dc.contributor.author | Nebot, Àngela | por |
dc.contributor.author | Mugica, Francisco | por |
dc.contributor.author | Cortez, Paulo | por |
dc.date.accessioned | 2014-11-27T13:53:44Z | - |
dc.date.available | 2014-11-27T13:53:44Z | - |
dc.date.issued | 2013-07 | - |
dc.identifier.isbn | 978-1-4244-6917-8 | - |
dc.identifier.issn | 1098-7584 | por |
dc.identifier.uri | https://hdl.handle.net/1822/31409 | - |
dc.description.abstract | Accurate time series forecasting is a key issue to support individual and organizational decision making. In this paper, we introduce several methods for short-term electric load forecasting. All the presented methods stem from computational intelligence techniques: Random Forest, Nonlinear Autoregressive Neural Networks, Evolutionary Support Vector Machines and Fuzzy Inductive Reasoning. The performance of the suggested methods is experimentally justified with several experiments carried out, using a set of three time series from electricity consumption in the real-world domain, on different forecasting horizons. | por |
dc.language.iso | eng | por |
dc.publisher | IEEE | por |
dc.rights | openAccess | por |
dc.subject | Artificial neural networks | por |
dc.subject | Evolutionary computation | por |
dc.subject | Support vector machines | por |
dc.subject | Random forest | por |
dc.subject | Time series | por |
dc.subject | Forecast | por |
dc.title | Short-term electric load forecasting using computational intelligence methods | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | The original publication is available at http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6622523 | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 1 | por |
oaire.citationEndPage | 8 | por |
oaire.citationConferencePlace | Hyderabad, India | por |
oaire.citationTitle | Proceedings of the 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013) | por |
dc.identifier.doi | 10.1109/FUZZ-IEEE.2013.6622523 | por |
dc.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Ieee International Conference on Fuzzy Systems | por |
sdum.conferencePublication | Proceedings of the 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013) | por |
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Ficheiro | Descrição | Tamanho | Formato | |
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2013-fuzz.pdf | 1,11 MB | Adobe PDF | Ver/Abrir |