神经网络在电力中期负荷预测中的应用

The Application of Artificial Neural Network in Medium-load Forecasting in Power System

为准确预测电力系统中期负荷,针对常用BP算法的预测速度慢、易陷入局部最优解的缺点,改进了基本BP算法,建立了中期负荷预报模型。负荷预测仿真表明,对BP算法的改进可使预测精度和收敛速度均得到显著的提高。

To improve prediction precision of medium-load forecasting in power system, considering the defects in usually used BP algorithms, such as slow forecasting speed and easily falling into local minimum, we improve the basic BP algorithm and built the model of medium-load forecasting. Case study shows that this method is accurate and fast.