Long range forecasting of hourly power system load by artificial neural network via discrete cosine transform

被引：0
|
作者：
Bhirud, S.G. [1 ]
Basu, T.K. [2 ]
机构：
[1] Dept. of Electron./Computer Science, Shri Guru Gobind Singhji Coll. E.T., Nanded 431 606, India
[2] Department of Electrical Engineering, Indian Institute of Technology, Kharagpur 721 302, India
来源：
Journal of the Institution of Engineers (India): Electrical Engineering Division | 2002年 / 83卷 / SEP.期
关键词：
Hourly power systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：70 / 77
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