王永翔,陈国初.基于改进人工鱼群优化支持向量机的短期风电功率预测[J].电测与仪表,2016,53(3):. WANG Yong-xiang,CHEN Guo-chu.Short-term Wind Power Prediction Based on Improved Artificial Fish Swarm Algorithm Optimization Support Vector Machine[J].Electrical Measurement & Instrumentation,2016,53(3):.
基于改进人工鱼群优化支持向量机的短期风电功率预测
Short-term Wind Power Prediction Based on Improved Artificial Fish Swarm Algorithm Optimization Support Vector Machine
Due to the fixed vision and step of artificial fish swarm algorithm resulting in algorithm optimization speed slow, easy to fall into local optimum value, it introduces a variable coefficient factor for adapting the vision and step in artificial fish’s swarm, rear end and foraging behavior; in addition, to reduce computational complexity of late algorithm and obtain more effective artificial fish, adding a maximum number of iterations elimination mechanism. Then, using improved artificial fish swarm algorithm to optimize the kernel function and penalty coefficient of support vector machine, and applied it in short-term wind power prediction. The simulation results show that the improved artificial fish swarm algorithm optimization support vector machine has a better effect on short-term wind power prediction.