电力系统负荷变化易受多方面因素的影响，负荷曲线呈现出强烈的非线性。而BP 神经网络具有较强的非线性映射特性，它只需输入输出样本数据而不需要做复杂的相关假定即可完成系统的建模。通过实验证明将该方法用于电力系统负荷的预报是有效可行的。关键词：BP 神经网络，非线性，预报，电力系统负荷Abstract：There are various factors for the change of power system load. Theload curve indicates strong nonlinearities. BP Neural Network has the character ofgood nonlinear mapping. A system can be easily modeling only based on the inputeand output sample data without correlative hypotheses inconveniently. Theexperimental results show that the method is efficient and feasible.Keyword: BP Neural Network, nonlinear, forecasting, power system load