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Title: Combined Gaussian Mixture Model and cumulants for probabilistic power flow calculation of integrated wind power network

Authors:
; ; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research
OSTI Identifier:
1636760
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Computers and Electrical Engineering
Additional Journal Information:
Journal Name: Computers and Electrical Engineering Journal Volume: 74 Journal Issue: C; Journal ID: ISSN 0045-7906
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Ye, Lin, Zhang, Yali, Zhang, Cihang, Lu, Peng, Zhao, Yongning, and He, Boyu. Combined Gaussian Mixture Model and cumulants for probabilistic power flow calculation of integrated wind power network. United Kingdom: N. p., 2019. Web. doi:10.1016/j.compeleceng.2019.01.010.
Ye, Lin, Zhang, Yali, Zhang, Cihang, Lu, Peng, Zhao, Yongning, & He, Boyu. Combined Gaussian Mixture Model and cumulants for probabilistic power flow calculation of integrated wind power network. United Kingdom. https://doi.org/10.1016/j.compeleceng.2019.01.010
Ye, Lin, Zhang, Yali, Zhang, Cihang, Lu, Peng, Zhao, Yongning, and He, Boyu. Fri . "Combined Gaussian Mixture Model and cumulants for probabilistic power flow calculation of integrated wind power network". United Kingdom. https://doi.org/10.1016/j.compeleceng.2019.01.010.
@article{osti_1636760,
title = {Combined Gaussian Mixture Model and cumulants for probabilistic power flow calculation of integrated wind power network},
author = {Ye, Lin and Zhang, Yali and Zhang, Cihang and Lu, Peng and Zhao, Yongning and He, Boyu},
abstractNote = {},
doi = {10.1016/j.compeleceng.2019.01.010},
journal = {Computers and Electrical Engineering},
number = C,
volume = 74,
place = {United Kingdom},
year = {Fri Mar 01 00:00:00 EST 2019},
month = {Fri Mar 01 00:00:00 EST 2019}
}

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Cited by: 11 works
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Works referenced in this record:

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