Title :
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
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;
Conference_Titel :
Systems and Informatics (ICSAI), 2014 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-5457-5
DOI :
10.1109/ICSAI.2014.7009282
