【摘要】 将ＲＢＦ（ＲａｄｉａＢａｓｉｓＦｕｎｃｔｉｏ．辐基函数）人工神经网络模型用于电力系统日峰值负荷与日小时负荷的预测。文中首先给出了ＲＢＦ网络的结构，然后讨论确定ＲＢＦ网络中心及网络训练的聚类法和正文化法。利用从京津唐系统中收集到的负荷数据进行网络模型的训练和回响检测，所得结果证实了ＡＢＦ网络用于负荷预测的有效性。更多还原

【Abstract】 The application of radial basis Function (RBF) ANN model to the daily peak load and daily 24-hour load in power system is proposed. The structure of the RBF network is presented first, then, the clustcr technique and orthogonal learning algorithm are used for determining the RBF network’s centers and for network training. The effectiveness of the presental foreasting strategy is demonstrated by baning and triting using the data collected from Jing -Jin-Tang power network.更多还原