摘要
研究了人工神经网络方法,提出使用BP神经网络建立短期负荷预测综合模型。为加快神经网络的学习速度,改进BP算法,引入平滑系数和遗忘系数,并取得良好的预测效果。
This paper puts emphasis on studying on artificial neural network （ANN） method. Following that a hybrid model of STLF is established based on back-propagation neural network. In order to improve the learning speed of ANN, a revised BP algorithm is adopted by using smooth coetfficient and forgetting coefficient. This method has a good effect in practice.
出处
《信息技术》
2008年第9期111-113,143,共4页
Information Technology
关键词
短期负荷预测
人工神经网络
平滑系数
BP算法
short-term load forecasting
artificial neural network
smooth coefficient
BP algorithm
