基于支持向量机的短期负荷预测

Short-term Load Forecasting Based on Support Vector Machine

讨论了现有的支持向量机回归参数选取方法.针对负荷预测建模,采用交叉验证的方法对参数进行选取,得到的最优参数对未来的峰荷进行预测,仿真结果表明了该方法的有效性.

Methods of selecting parameters in support vector regression are discussed. Cross-validation method is used to select parameters during the modeling of load forecasting. The obtained optimal parameters are used to forecast peak load. Simulation results show the method is efficient.