人工神经网络进行电力系统短期负荷预报的几个问题的探讨

研究了利用人工神经网络进行电力系统短期负荷预报中常会遇到的几个问题，提出了考虑年负荷增长率、极端气候、节假日问题及历史负荷资料少带来的预报误差的一些极为新颖的斛办法。实例证明，这些办法明显地改善了预报结果，使人工神经网络进行电力负荷短期预报的应用更适应于实际的要求。

Approach to Some Problems in Short Term Load Forecasting Using Artificial Neural Network

This paper discusses some problems in short term electric load forecasting based on artificial neural network,and presents some new approach to solving them considering year load increase rate,abnormal weather,holidays and prediction difference due to lack of historical load data.The forecasting results show that the accuracy is improved greatly.