Short-Term Wind Speed Forecasting for Power Generation in Hamirpur, Himachal Pradesh, India, Using Artificial Neural Networks

被引：5

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, Elect Engn Dept, New Delhi 110016, India

来源：

APPLICATIONS OF ARTIFICIAL INTELLIGENCE TECHNIQUES IN ENGINEERING, VOL 2 | 2019年 / 697卷

关键词：

Forecasting; Wind speed; Artificial neural network; SOLAR-RADIATION; PREDICTION;

D O I：

10.1007/978-981-13-1822-1_24

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, wind speed (WS) forecasting in the mountainous region of Hamirpur in Himachal Pradesh, India is presented. The time series utilized are 10 min averaged WS data are utilized. In order to do WS forecasting, ANN models are developed to forecast WS 10, 20, 30 min, and 1 h ahead. Statistical error measures such as the mean square error (MSE), mean absolute error (MAE), root mean square error (RMSE), and mean error (ME) were calculated to compare the ANN models at 10, 20, 30 min, and 1 h ahead forecasting. It is found that statically error of 10 min ahead forecasting error is least. This study is useful for online monitoring of wind power.

引用

页码：263 / 271

页数：9

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