【摘要】 针对电力系统短期负荷预测中神经网络输入变量选择与网络训练问题,提出了一种基于回归分析与神经网络相结合的短期负荷预测方法,利用回归分析选择神经网络的输入变量,利用遗传算法训练神经网络。实例研究结果表明该方法可以取得较高的预测精度。更多还原

【Abstract】 In allusion to the input variables choice and training of artificial neural network in short-term load forecasting of electrical power system,a short-term load forecasting algorithm based on regression analysis and neural network is presented.Input variables of neural network is selected by regression analysis and training neural network is trained by genetic algorithm.The result of study indicates that this method can gain a higher forecasting precision.更多还原