IEEE - Institute of Electrical and Electronics Engineers, Inc. - NARX models for predicting power consumption of a horizontal axis wind turbine

2016 UKACC 11th International Conference on Control (CONTROL)

Author(s): Lidong Zhang ; Lijiao Ma ; Kang Li ; Shaojun Gan ; Juan Yan ; Xiandong Xu ; Mingliang Zhu ; Weiwei Li
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2016
Conference Location: Belfast, UK
Conference Date: 31 August 2016
Page(s): 1 - 5
ISBN (Electronic): 978-1-4673-9891-6
DOI: 10.1109/CONTROL.2016.7737571
Regular:

Wind prediction is a key technique for seamless integration of large penetration of wind power into the power system. In this study, a nonlinear autoregressive model with exogenous inputs (NARX)... View More

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