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Title: Hd-Deep-EM: Deep Expectation Maximization for Dynamic Hidden State Recovery Using Heterogeneous Data

Journal Article · · IEEE Transactions on Power Systems
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]
  1. Department of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA
  2. MOVEJ Analytics, Dayton, OH, USA
  3. Key Laboratory of Control of Power Transmission and Conversion (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
+ Show Author Affiliations

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Research Organization:
Arizona State Univ., Tempe, AZ (United States)
Sponsoring Organization:
USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
EE0009355
OSTI ID:
2311207
Journal Information:
IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 2 Vol. 39; ISSN 0885-8950
Publisher:
Institute of Electrical and Electronics EngineersCopyright Statement
Country of Publication:
United States
Language:
English

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