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《Journal of Shanghai Jiaotong University》 2005-S1
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The Application of Adaptive Neural Network in Short Term Load Forecasting

ZHAN Yong, CHENG Hao-zhong, DING Yi-feng(School of Electronic, Information and Electrical Eng., Shanghai Jiaotong Univ., Shanghai 200030, China)  
An adaptive prediction model based on chaotic algorithm was applied to short term load forecast of power system. Taking the saturation inset dimension of reconstructed phase space as the input node number of artificial neural network and suitable nonlinear feedback terms are selected, the dynamics of network become chaotic in the weight space. EP evolutionary computation is used to establish a kind of self-adaptive prediction model by which the nonlinear feedback term is optimized according to the outcome of learning and training. It is revealed that the algorithm has good performance in self-adaptive ability, robustness and precision.
【Fund】: 国家自然科学基金资助项目(50177017);; 高等学校青年教师教学科研奖励计划
【CateGory Index】: TM715
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