A new condition based linear asset dynamic segmentation approach
Yuan Ju, Ning Duan, et al.
SOLI 2012
Wind power is an increasingly used form of renewable energy. However, the inherent randomicity and intermittency of wind resource brings challenges to operators of power systems and wind farms. Therefore, preliminary forecasting of the wind power is necessary. We propose a statistical method for it based on linear regression model. Moreover, many of farms need to be worked on at the same time in some cases. If we predict every wind turbine using the same method such as linear regression, it must be time-consuming. In this paper, we partition the wind turbines into several groups according to the practical need, and choose one representative in each group. Then we predict all the turbines through transformation. Our method is applied to a real data set of one of the 3 largest wind farm operators in China. © 2012 IEEE.
Yuan Ju, Ning Duan, et al.
SOLI 2012
Xin Zhang, Xiaoguang Rui, et al.
SOLI/ICT4ALL 2015
Xinxin Bai, Hairong Lv, et al.
SOLI 2008
Zhongping Yan, Weimin Lei, et al.
SOLI 2013