Computer Science ›› 2013, Vol. 40 ›› Issue (Z6): 41-43.

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Application of PSOEM-LSSVM in Medium and Long Term Power Load Forecasting

DUAN Qi-chang,ZHOU Hua-xin,ZENG Yong and ZHANG Guang-feng   

  • Online:2018-11-16 Published:2018-11-16

Abstract: For medium and long term power load forecasting,considering the factors affecting medium and long-term power load,a method based on the particle swarm optimization with Extended Memory(PSOEM) and Least squares support vector machines(LSSVM) was proposed for medium and long -term load forecasting.PSOEM has more extensive capability of global optimization than PSO owing to higher accuracy and convergence rate,so it is used to optimize the parameters of the LSSVM,and obtains an optimum PSOEM-LSSVM model to forecast the load.An example simulation shows that this method can offer a higher precision and speed of forcasting than several other methods.

Key words: Medium and long term load forecasting,PSOEM,LSSVM

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