Hybridization of Chaotic Quantum Particle Swarm Optimization with SVR in Electric Demand Forecasting
In existing forecasting research papers support vector regression with chaotic mapping function and evolutionary algorithms have shown their advantages in terms of forecasting accuracy improvement. However, for classical particle swarm optimization (PSO) algorithms, trapping in local optima results...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-05-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/9/6/426 |