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Title: Comparative study of clustering techniques for real-time dynamic model reduction

Authors:
 [1];  [2];  [3];  [4];  [5];  [6];  [4]
  1. National Security Directorate, Pacific Northwest National Laboratory, Richland, Washington
  2. School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon
  3. Physical and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington
  4. Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington
  5. Department of Mathematics, Purdue University, West Lafayette, Indiana
  6. EnerMod, Austin, Texas
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1376759
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Statistical Analysis and Data Mining
Additional Journal Information:
Related Information: CHORUS Timestamp: 2017-10-20 18:03:41; Journal ID: ISSN 1932-1864
Publisher:
Wiley
Country of Publication:
United States
Language:
English

Citation Formats

Purvine, Emilie, Cotilla-Sanchez, Eduardo, Halappanavar, Mahantesh, Huang, Zhenyu, Lin, Guang, Lu, Shuai, and Wang, Shaobu. Comparative study of clustering techniques for real-time dynamic model reduction. United States: N. p., 2017. Web. doi:10.1002/sam.11352.
Purvine, Emilie, Cotilla-Sanchez, Eduardo, Halappanavar, Mahantesh, Huang, Zhenyu, Lin, Guang, Lu, Shuai, & Wang, Shaobu. Comparative study of clustering techniques for real-time dynamic model reduction. United States. doi:10.1002/sam.11352.
Purvine, Emilie, Cotilla-Sanchez, Eduardo, Halappanavar, Mahantesh, Huang, Zhenyu, Lin, Guang, Lu, Shuai, and Wang, Shaobu. 2017. "Comparative study of clustering techniques for real-time dynamic model reduction". United States. doi:10.1002/sam.11352.
@article{osti_1376759,
title = {Comparative study of clustering techniques for real-time dynamic model reduction},
author = {Purvine, Emilie and Cotilla-Sanchez, Eduardo and Halappanavar, Mahantesh and Huang, Zhenyu and Lin, Guang and Lu, Shuai and Wang, Shaobu},
abstractNote = {},
doi = {10.1002/sam.11352},
journal = {Statistical Analysis and Data Mining},
number = ,
volume = ,
place = {United States},
year = 2017,
month = 8
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on August 24, 2018
Publisher's Accepted Manuscript

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  • Abstract not provided.