Name
Title | ||
|---|---|---|
Short term wind speed prediction based on evolutionary support vector regression algorithms |
Abstract | ||
|---|---|---|
Hyper-parameters estimation in regression Support Vector Machines (SVMr) is one of the main problems in the application of this type of algorithms to learning problems. This is a hot topic in which very recent approaches have shown very good results in different applications in fields such as bio-medicine, manufacturing, control, etc. Different evolutionary approaches have been tested to be hybridized with SVMr, though the most used are evolutionary approaches for continuous problems, such as evolutionary strategies or particle swarm optimization algorithms. In this paper we discuss the application of two different evolutionary computation techniques to tackle the hyper-parameters estimation problem in SVMrs. Specifically we test an Evolutionary Programming algorithm (EP) and a Particle Swarm Optimization approach (PSO). We focus the paper on the discussion of the application of the complete evolutionary-SVMr algorithm to a real problem of wind speed prediction in wind turbines of a Spanish wind farm. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.eswa.2010.09.067 | Expert Syst. Appl. |
Keywords | Field | DocType |
different evolutionary computation technique,spanish wind farm,support vector regression algorithms,short term wind speed,evolutionary programming algorithm,short-term wind speed forecasting,evolutionary approach,evolutionary strategy,wind speed prediction,evolutionary algorithms,wind turbine,different application,evolutionary support vector regression,different evolutionary approach,hyper-parameters estimation,support vector regression,evolutionary programming,evolutionary computing,support vector machine,parameter estimation,evolutionary algorithm,wind speed | Evolutionary algorithm,Computer science,Artificial intelligence,Evolutionary programming,Wind power,Particle swarm optimization,Mathematical optimization,Wind speed,Regression,Support vector machine,Evolutionary computation,Algorithm,Machine learning | Journal |
Volume | Issue | ISSN |
38 | 4 | Expert Systems With Applications |
Citations | PageRank | References |
21 | 1.35 | 19 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sancho Salcedo-Sanz | 1 | 580 | 71.21 |
| Emilio G. Ortiz-García | 2 | 140 | 10.54 |
| Ángel M. Pérez-Bellido | 3 | 130 | 11.71 |
| Antonio Portilla-Figueras | 4 | 147 | 19.07 |
| L. Prieto | 5 | 41 | 6.05 |