Applications of the Chaotic Quantum Genetic Algorithm with Support Vector Regression in Load Forecasting

@inproceedings{Lee2017ApplicationsOT,
  title={Applications of the Chaotic Quantum Genetic Algorithm with Support Vector Regression in Load Forecasting},
  author={Cheng-Wen Lee and Bing-Yi Lin},
  year={2017}
}
Accurate electricity forecasting is still the critical issue in many energy management fields. The applications of hybrid novel algorithms with support vector regression (SVR) models to overcome the premature convergence problem and improve forecasting accuracy levels also deserve to be widely explored. This paper applies chaotic function and quantum computing concepts to address the embedded drawbacks including crossover and mutation operations of genetic algorithms. Then, this paper proposes… CONTINUE READING
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