DocumentCode
58129
Title
Discussion of “Combined Nonparametric Prediction Intervals for Wind Power Generation”
Author
Can Wan ; Zhao Xu ; Ostergaard, Jacob ; Zhao Yang Dong ; Kit Po Wong
Author_Institution
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong, China
Volume
5
Issue
3
fYear
2014
fDate
Jul-14
Firstpage
1021
Lastpage
1021
Abstract
In [1], the lower upper bounds estimation (LUBE) method is proposed to construct combined nonparametric prediction intervals (PIs) of wind power generation, which is also used in [2]. We would like to commend the authors for their efforts in exploring probabilistic wind power forecasting, which is an important research area toward a renewable-energy-penetrated operation environment for power systems.
Keywords
load forecasting; probability; wind power; combined nonparametric prediction intervals; lower upper bounds estimation method; power systems; probabilistic wind power forecasting; renewable-energy-penetrated operation environment; wind power generation; Artificial neural networks; Cost function; Power system reliability; Wind power generation;
fLanguage
English
Journal_Title
Sustainable Energy, IEEE Transactions on
Publisher
ieee
ISSN
1949-3029
Type
jour
DOI
10.1109/TSTE.2014.2323836
Filename
6837569
Link To Document