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A hybrid framework combining model-based and data-driven methods for hierarchical decentralized robust dynamic state estimation / Marcos Netto [and four others].

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Format:
Book
Government document
Author/Creator:
Netto, Marcos, author.
Contributor:
National Renewable Energy Laboratory (U.S.), issuing body.
Series:
Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5D00-72685.
Conference paper NREL/CP ; 5D00-72685
Language:
English
Subjects (All):
IEEE Power & Energy Society. General Meeting.
IEEE Power & Energy Society.
Compressed sensing (Telecommunication).
Kalman filtering.
Genre:
technical reports.
proceedings (reports)
Technical reports
Conference papers and proceedings
Technical reports.
Conference papers and proceedings.
Physical Description:
1 online resource (5 pages) : color illustrations
Place of Publication:
Golden, CO : National Renewable Energy Laboratory, February 2019.
Notes:
"February 2019."
"To be presented at the 2019 IEEE Power and Energy Society General Meeting (IEEE PES GM) Atlanta, Georgia, August 4-8, 2019."
Includes bibliographical references (page 5).
Online resource, PDF version; title from title page (NREL, viewed March 15, 2019).
OCLC:
1089928934

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