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https://hdl.handle.net/10216/78679Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | J. Nuno Fidalgo | |
| dc.creator | Rui Camacho | |
| dc.creator | António F. Silva | |
| dc.creator | Fernando Aristides | |
| dc.date.accessioned | 2019-01-31T18:37:49Z | - |
| dc.date.available | 2019-01-31T18:37:49Z | - |
| dc.date.issued | 2008 | |
| dc.identifier.other | sigarra:100939 | |
| dc.identifier.uri | https://repositorio-aberto.up.pt/handle/10216/78679 | - |
| dc.description.abstract | A decision making problem often becomes a problem of selection. In this kind of problems (decision making or fo-recasting problems) the selection of an effective set of input variables, which is usually a complex and sometimes an unmanageable process, is the main problem in real situations. The correct selection of the most important data in the assessment of a problem allows not only faster decision but the reduction of the prediction error. In this paper we use a hybrid model of a Genetic Algorithm as a heuristic tool, to select appropriate combinations of different variables that have more effect on forecasting decision making parameters, and Artificial Neural Network as a fitness function of genetic algorithm. The model was then applied to predict the intensity of the wind in the short and medium term in the central-south region of Portugal. The results proved to be excellent regardless of the forecast horizon. | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Proceedings of the WSEAS International Conference on APPLIED and THEORETICAL MECHANICS | |
| dc.rights | openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Outras ciências da engenharia e tecnologias | |
| dc.subject | Other engineering and technologies | |
| dc.title | Machine learning methods to predict wind intensity | |
| dc.type | Artigo em Livro de Atas de Conferência Internacional | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| dc.subject.fos | Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias | |
| dc.subject.fos | Engineering and technology::Other engineering and technologies | |
| Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 100939.pdf | Machine Learning Methods to Predict Wind Intensity | 179.95 kB | Adobe PDF | ![]() View/Open |
This item is licensed under a Creative Commons License
