skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A data-driven method to characterize turbulence-caused uncertainty in wind power generation

Authors:
; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1359062
Grant/Contract Number:  
AC36-08-GO28308
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Energy (Oxford)
Additional Journal Information:
Journal Name: Energy (Oxford) Journal Volume: 112 Journal Issue: C; Journal ID: ISSN 0360-5442
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Zhang, Jie, Jain, Rishabh, and Hodge, Bri-Mathias. A data-driven method to characterize turbulence-caused uncertainty in wind power generation. United Kingdom: N. p., 2016. Web. doi:10.1016/j.energy.2016.06.144.
Zhang, Jie, Jain, Rishabh, & Hodge, Bri-Mathias. A data-driven method to characterize turbulence-caused uncertainty in wind power generation. United Kingdom. doi:10.1016/j.energy.2016.06.144.
Zhang, Jie, Jain, Rishabh, and Hodge, Bri-Mathias. Sat . "A data-driven method to characterize turbulence-caused uncertainty in wind power generation". United Kingdom. doi:10.1016/j.energy.2016.06.144.
@article{osti_1359062,
title = {A data-driven method to characterize turbulence-caused uncertainty in wind power generation},
author = {Zhang, Jie and Jain, Rishabh and Hodge, Bri-Mathias},
abstractNote = {},
doi = {10.1016/j.energy.2016.06.144},
journal = {Energy (Oxford)},
number = C,
volume = 112,
place = {United Kingdom},
year = {2016},
month = {10}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.energy.2016.06.144

Save / Share: