Publication
Short-term Wind Speed Forecasting using Support Vector Machines
| dc.contributor.author | Pinto, Tiago | |
| dc.contributor.author | Ramos, Sérgio | |
| dc.contributor.author | Sousa, Tiago | |
| dc.contributor.author | Vale, Zita | |
| dc.date.accessioned | 2015-05-05T15:26:36Z | |
| dc.date.available | 2015-05-05T15:26:36Z | |
| dc.date.issued | 2014-12 | |
| dc.description.abstract | Wind speed forecasting has been becoming an important field of research to support the electricity industry mainly due to the increasing use of distributed energy sources, largely based on renewable sources. This type of electricity generation is highly dependent on the weather conditions variability, particularly the variability of the wind speed. Therefore, accurate wind power forecasting models are required to the operation and planning of wind plants and power systems. A Support Vector Machines (SVM) model for short-term wind speed is proposed and its performance is evaluated and compared with several artificial neural network (ANN) based approaches. A case study based on a real database regarding 3 years for predicting wind speed at 5 minutes intervals is presented. | por |
| dc.identifier.doi | 10.1109/CIDUE.2014.7007865 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/5930 | |
| dc.language.iso | eng | por |
| dc.publisher | IEEE | por |
| dc.relation.ispartofseries | CIDUE;2014 | |
| dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7007865&queryText%3D10.1109%2FCIDUE.2014.7007865 | por |
| dc.subject | Artificial neural networks | por |
| dc.subject | Short-term forecasting | por |
| dc.subject | Support vector machines | por |
| dc.subject | Wind speed forecasting | por |
| dc.title | Short-term Wind Speed Forecasting using Support Vector Machines | por |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Orlando, Florida, USA | por |
| oaire.citation.endPage | 46 | por |
| oaire.citation.startPage | 40 | por |
| oaire.citation.title | CIDUE 2014 – Computational Intelligence in Dynamic and Uncertain Environments (CIDUE) at the IEEE SSCI 2014 (IEEE Symposium Series on Computational Intelligence) | por |
| person.familyName | Pinto | |
| person.familyName | Carvalho Ramos | |
| person.familyName | Vale | |
| person.givenName | Tiago | |
| person.givenName | Sérgio Filipe | |
| person.givenName | Zita | |
| person.identifier | R-000-T7J | |
| person.identifier | 632184 | |
| person.identifier.ciencia-id | 2414-9B03-C4BB | |
| person.identifier.ciencia-id | 6D1F-C495-6660 | |
| person.identifier.ciencia-id | 721B-B0EB-7141 | |
| person.identifier.orcid | 0000-0001-8248-080X | |
| person.identifier.orcid | 0000-0002-1120-5656 | |
| person.identifier.orcid | 0000-0002-4560-9544 | |
| person.identifier.rid | T-2245-2018 | |
| person.identifier.rid | A-5824-2012 | |
| person.identifier.scopus-author-id | 35219107600 | |
| person.identifier.scopus-author-id | 7004115775 | |
| rcaap.rights | closedAccess | por |
| rcaap.type | conferenceObject | por |
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