An AFSA-TSGM Based Wavelet Neural Network for Power Load Forecasting

作者：Niu Dongxiao; Gu Zhihong; Zhan Yunyun

来源：6th International Symposium on Neural Networks, 2009-05-26 to 2009-05-29.

• Wavelet neural networks
• Tabu search
• Genetic mutation operator
• AFSA
• Power load forecasting

An intelligent methodology for power load forecasting was developed. In this forecasting system, wavelet neural network techniques were used in combination with a new evolutionary learning algorithm. The new evolutionary learning algorithm introduced the Tabu Search Algorithm and Genetic Mutation Operator into Artificial Fish Swarm Algorithm (AFSA) to construct a hybrid optimizing algorithm, and is thus called ASFA-TSGM. The hybrid algorithm can greatly improve the ability of searching the global excellent result and the convergence property and accuracy. The effectiveness of the ASFA-TSGM based WNN was demonstrated through the power load forecasting. The simulated results show its feasibility and validity.

• 出版日期2009
• 单位华北电力大学