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



人工神經網絡在短期負荷預測中的應用
　　　摘要：
　　　在本文，我們將討論如何利用人工神經網絡對短期負荷進行預測。在這類系統(tǒng)中，有兩種類型的神經網絡：非線性和線性神經網絡。非線性神經網絡是用來捕獲負荷和各種輸入參數之間的高度非線性關系。基于ARMA模型的神經網絡，主要用來捕捉很短的時間期限內負載的變化。我們的系統(tǒng)可以實現(xiàn)準確性高的短期負荷預測。
　　　
　　　關鍵詞：短期負荷預測，人工神經網絡