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Optimized Energy-Storage Method Based on Deep-Learning Adaptive-Dynamic Programming

Author(s): (Postdoctoral Research Associate, Engineering Technology Research Institute, Univ. of Science and Technology Beijing, Beijing 100083, China.)
(Reasearch Fellow, Engineering Technology Research Institute, Univ. of Science and Technology Beijing, Beijing 100083, China.)
(Professor, School of Automation and Electrical Engineering, Univ. of Science and Technology Beijing, Beijing 100083, China.)
(Associate Research Fellow, Engineering Technology Research Institute, Univ. of Science and Technology Beijing, Beijing 100083, China (corresponding author).)
(Ph.D. Candidate, School of Electrical and Information Engineering, Univ. of Sydney, Sydney, NSW 2000, Australia.)
(Postdoctoral Research Associate, College of Chemistry and Environmental Engineering, Shenzhen Univ., Shenzhen 518052, China; Research School of Engineering, College of Engineering and Computer Science, Australian National Univ., Canberra, ACT 2601, Austra)
Medium: journal article
Language(s): English
Published in: Journal of Energy Engineering, , n. 3, v. 146
Page(s): 04020011
DOI: 10.1061/(asce)ey.1943-7897.0000657
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/(asce)ey.1943-7897.0000657.
  • About this
    data sheet
  • Reference-ID
    10588746
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
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