摘要
提出了一种基于人工神经网络的电力系统短期负荷预测技术，该方法在计及气温因素对负荷预测影响的基础上，将神经网络同一种较为新颖的预报模型相结合，因而具有较高的预测精度。计算实例证明了该法的可行性和有效性。
Based on the artificial intelligent network,a technique of the short term load forecasting of electric power system is put forward Based on the consideration of the influence of air temperature on load forecasting,the intelligent network and a new forecasting model are combined to reach a higher forecasting accurcy The calculation results illustrate that this techuique is practical and effective
关键词
电力系统
人工神经网络
负荷预测
Electric Power System Artificial Neural Network Short Term Load Forecasting
