[外文翻译]人工神经网络在短期负荷预测中的应用.doc

　　Artificial Neural Networks in Short Term load Forecasting
　　　　　　　　　　　　　　K.F. Reinschmidt, President B. Ling
　　　　Stone h Webster Advanced Systems Development Services, Inc.
　　　　       245 Summer Street Boston, U 0221 0
　　　　　　　　　　　　　　　　　Phone: 617-589-1 84 1
　　Abstract：
　　　We discuss the use of artificial neural networks to the short term forecasting of loads. In this system, there are two types of neural networks: non-linear and linear neural networks. The nonlinear neural network is used to capture the highly non-linear relation between the load and various input parameters. A neural networkbased ARMA model is mainly used to capture the load variation over a very short time period. Our system can achieve a good accuracy in short term load forecasting.

　　　Key words: short-term load forecasting, artificial neural network



人工神经网络在短期负荷预测中的应用
　　　摘要：
　　　在本文，我们将讨论如何利用人工神经网络对短期负荷进行预测。在这类系统中，有两种类型的神经网络：非线性和线性神经网络。非线性神经网络是用来捕获负荷和各种输入参数之间的高度非线性关系。基于ARMA模型的神经网络，主要用来捕捉很短的时间期限内负载的变化。我们的系统可以实现准确性高的短期负荷预测。
　　　
　　　关键词：短期负荷预测，人工神经网络