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Title: A learning-based data-driven forecast approach for predicting future reservoir performance

Abstract

Not provided.

Authors:
; ORCiD logo; ;
Publication Date:
Research Org.:
Univ. of Texas, Austin, TX (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1537925
DOE Contract Number:  
FE0026515
Resource Type:
Journal Article
Journal Name:
Advances in Water Resources
Additional Journal Information:
Journal Volume: 118; Journal Issue: C; Journal ID: ISSN 0309-1708
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
Water Resources

Citation Formats

Jeong, Hoonyoung, Sun, Alexander Y., Lee, Jonghyun, and Min, Baehyun. A learning-based data-driven forecast approach for predicting future reservoir performance. United States: N. p., 2018. Web. doi:10.1016/j.advwatres.2018.05.015.
Jeong, Hoonyoung, Sun, Alexander Y., Lee, Jonghyun, & Min, Baehyun. A learning-based data-driven forecast approach for predicting future reservoir performance. United States. doi:10.1016/j.advwatres.2018.05.015.
Jeong, Hoonyoung, Sun, Alexander Y., Lee, Jonghyun, and Min, Baehyun. Wed . "A learning-based data-driven forecast approach for predicting future reservoir performance". United States. doi:10.1016/j.advwatres.2018.05.015.
@article{osti_1537925,
title = {A learning-based data-driven forecast approach for predicting future reservoir performance},
author = {Jeong, Hoonyoung and Sun, Alexander Y. and Lee, Jonghyun and Min, Baehyun},
abstractNote = {Not provided.},
doi = {10.1016/j.advwatres.2018.05.015},
journal = {Advances in Water Resources},
issn = {0309-1708},
number = C,
volume = 118,
place = {United States},
year = {2018},
month = {8}
}