天气敏感型神经网络在地区电网短期负荷预测中的应用

APPLICATION OF WEATHER SENSITIVITY NEURAL NETWORK MODEL IN SHORT-TERM LOAD FORECASTING ON AREA

针对地区电网负荷易受气象影响的特点 ,提出了一种具有天气敏感性的基于快速 BP算法的神经网络预测模型 ,模型中合理地考虑了影响负荷变化的主要气象因素 ,使其能够适应天气的变化。

According to dependence of load on weather factor, a weather sensitivity neural network model based on fast BP algorithm is presented in this paper. The main weather factors are considered in model, which make the model suitable for the change of weather. Furthermore, the effectiveness of this algorithm is verified via a practical implementation.