Particle Swarm Optimization-Enhanced Twin Support Vector Regression for Wind Speed Forecasting
Wind energy is considered one of the renewable energy sources that minimize the cost of electricity production. This article proposes a hybrid approach based on particle swarm optimization (PSO) and twin support vector regression (TSVR) for forecasting wind speed (PSO-TSVR). To enhance the forecasti...
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| Format: | Article |
| Language: | English |
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De Gruyter
2017-11-01
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| Series: | Journal of Intelligent Systems |
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| Online Access: | https://doi.org/10.1515/jisys-2017-0378 |