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Title: Ensemble-based uncertainty quantification for coordination and control of thermostatically controlled loads

Abstract

This paper presents a general uncertainty quantification (UQ) framework that provides a systematic analysis of the uncertainty involved in the modeling of a control system, and helps to improve the performance of a control strategy.

Authors:
ORCiD logo [1]; ORCiD logo [1];  [1];  [1]
  1. Pacific Northwest National Laboratory, Richland, WA, USA.
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1423419
Report Number(s):
PNNL-SA-123683
Journal ID: ISSN 2330-7706
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: Journal of Control and Decision; Journal Volume: 5; Journal Issue: 2
Country of Publication:
United States
Language:
English
Subject:
ensemble-based method

Citation Formats

Li, Weixuan, Lian, Jianming, Engel, Dave, and Wang, Hong. Ensemble-based uncertainty quantification for coordination and control of thermostatically controlled loads. United States: N. p., 2017. Web. doi:10.1080/23307706.2017.1353931.
Li, Weixuan, Lian, Jianming, Engel, Dave, & Wang, Hong. Ensemble-based uncertainty quantification for coordination and control of thermostatically controlled loads. United States. doi:10.1080/23307706.2017.1353931.
Li, Weixuan, Lian, Jianming, Engel, Dave, and Wang, Hong. Thu . "Ensemble-based uncertainty quantification for coordination and control of thermostatically controlled loads". United States. doi:10.1080/23307706.2017.1353931.
@article{osti_1423419,
title = {Ensemble-based uncertainty quantification for coordination and control of thermostatically controlled loads},
author = {Li, Weixuan and Lian, Jianming and Engel, Dave and Wang, Hong},
abstractNote = {This paper presents a general uncertainty quantification (UQ) framework that provides a systematic analysis of the uncertainty involved in the modeling of a control system, and helps to improve the performance of a control strategy.},
doi = {10.1080/23307706.2017.1353931},
journal = {Journal of Control and Decision},
number = 2,
volume = 5,
place = {United States},
year = {Thu Jul 27 00:00:00 EDT 2017},
month = {Thu Jul 27 00:00:00 EDT 2017}
}