利用人工神经网络法建立了短期用电量预报模型
并采用某市时用电量的实测数据进行了建模和时用电量预测
本文给出了预测时用电量的方法
时用电量
通过与时间序列三角函数分析法、灰色系统理论预测法、小波分析法的预测结果相比较
） Abstract： In production and daily life, electricity is an indispensable material, its economic and social plays an irreplaceable role
In this paper, the forecast electricity consumption methods, according to the time the city\\\\\\\ns electricity consumption sequence seasonal trends and characteristics of the random disturbances such as the use of artificial neural network to establish a short-term electricity demand forecasting model, using electricity when the city The measured data and modeling when electricity consumption forecast, with trigonometric time series analysis, gray prediction theory, wavelet analysis of the results compared with a forecast confirmed that the method of small errors and speed characteristics , The power supply system to meet the actual needs of the scheduling
This electrical sector will bring great convenience
Keywords： neural networks ; electricity consumption of one hour ; forecasting; algorithm BP 下载PDF阅读器 PDF全文下载： 初稿 （ 194 ） 作者简介： 通信联系人： 【收录情况】 中国科技论文在线： 徐志敏
人工神经网络法预测时用电量[EB/OL]
北京：中国科技论文在线
证实该法具有预测误差小和计算速度快的特点
