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Title: Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models

Abstract

Not provided.

Authors:
; ; ;
Publication Date:
Research Org.:
Univ. of Texas, Austin, TX (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
OSTI Identifier:
1614404
DOE Contract Number:  
OE0000841
Resource Type:
Journal Article
Journal Name:
Computers and Chemical Engineering
Additional Journal Information:
Journal Volume: 126; Journal Issue: C; Journal ID: ISSN 0098-1354
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
Computer Science; Engineering

Citation Formats

Tsay, Calvin, Kumar, Ankur, Flores-Cerrillo, Jesus, and Baldea, Michael. Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models. United States: N. p., 2019. Web. doi:10.1016/j.compchemeng.2019.03.022.
Tsay, Calvin, Kumar, Ankur, Flores-Cerrillo, Jesus, & Baldea, Michael. Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models. United States. https://doi.org/10.1016/j.compchemeng.2019.03.022
Tsay, Calvin, Kumar, Ankur, Flores-Cerrillo, Jesus, and Baldea, Michael. Mon . "Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models". United States. https://doi.org/10.1016/j.compchemeng.2019.03.022.
@article{osti_1614404,
title = {Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models},
author = {Tsay, Calvin and Kumar, Ankur and Flores-Cerrillo, Jesus and Baldea, Michael},
abstractNote = {Not provided.},
doi = {10.1016/j.compchemeng.2019.03.022},
url = {https://www.osti.gov/biblio/1614404}, journal = {Computers and Chemical Engineering},
issn = {0098-1354},
number = C,
volume = 126,
place = {United States},
year = {2019},
month = {7}
}