10-Min Ahead Forecasting of Wind Speed for Power Generation Using Nonlinear Autoregressive Neural Network

被引：2
|
作者：
Yadav, Amit Kumar [1 ]
Malik, Hasmat [1 ,2 ]
机构：
[1] NIT Sikkim, Elect & Elect Engn Dept, Barfung Block, Ravangla 737139, South Sikkim, India
[2] IIT Delhi, Dept Elect Engn, New Delhi 110016, India
来源：
APPLICATIONS OF ARTIFICIAL INTELLIGENCE TECHNIQUES IN ENGINEERING, SIGMA 2018, VOL 1 | 2019年 / 698卷
关键词：
Forecasting; Nonlinear autoregressive neural network; Wind speed; PREDICTION;
D O I：
10.1007/978-981-13-1819-1_23
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper present wind speed (WS) forecasting at 10 min ahead using nonlinear autoregressive neural network. For this 45000 measured time series data are utilized. Mean absolute percentage error and correlation are found to be 9.45% and 92% respectively, showing effectiveness and accuracy of the proposed nonlinear autoregressive neural network forecasting model of WS for power generation.
引用
收藏
页码：235 / 244
页数：10
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