@inproceedings{767b74f258bd4bc7a6feff6f192bd0d0,
title = "A cloud displacement estimation approach for sky images based on phase correlation theory",
abstract = "For intro-hour solar power forecasting approaches with sky images, the computing for cloud motion is very necessary. In this paper, a cloud displacement estimation method for sky images based on phase correlation theory is proposed. By Fourier transforming, the image matrix in frequency domain is obtained and then the cross-power spectrum of two adjacent sky images can be calculated. According to the inverse Fourier transform of the cross-power spectrum, the displacement of cloud in the two adjacent sky images is achieved. To improve the practical application ability of the approach, the noise signal in cross-power spectrum is analyzed and a filtering method to exclude erroneous results is also provided. Simulation results showed the effectiveness of the proposed method.",
keywords = "cloud displacement, phase correlation, sky image, solar forecasting",
author = "Zhao Zhen and Yujing Sun and Fei Wang and Zengqiang Mi and Hui Ren and Shi Su and Yuting Yan and Hai Lu and Engerer, {Nicholas A.}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Power System Technology, POWERCON 2016 ; Conference date: 28-09-2016 Through 01-10-2016",
year = "2016",
month = nov,
day = "22",
doi = "10.1109/POWERCON.2016.7753933",
language = "English",
series = "2016 IEEE International Conference on Power System Technology, POWERCON 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE International Conference on Power System Technology, POWERCON 2016",
address = "United States",
}