Short-term prediction models for wind speed and wind power

Author

Guangxing Bai ; Yanwu Ding ; Yildirim, Mehmet Bayram ; Yan-Hong Ding

Author_Institution

Dept. of Ind. & Manuf. Eng., Wichita State Univ., Wichita, KS, USA

fYear

2014

fDate

15-17 Nov. 2014

Firstpage

180

Lastpage

185

Abstract

This paper discusses the short-term prediction of wind power and wind speed. The test data is collected at a wind power station in 30 seconds interval. A time-series model and a neural network prediction model are applied for predicting the wind speed and wind power predictions. The performances of prediction of different time points are compared.

Keywords

neural nets; power engineering computing; prediction theory; time series; wind power plants; neural network prediction model; short-term prediction models; test data; time points prediction; time-series model; wind power station; wind speed; Biological neural networks; Computational modeling; Predictive models; Time series analysis; Wind power generation; Wind speed; Power prediction; neural networks; time series model; wind speed prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Informatics (ICSAI), 2014 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4799-5457-5

Type

conf

DOI

10.1109/ICSAI.2014.7009282

Filename

7009282

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1797675