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Short-term building cooling load prediction based on AKNN and RNN models

Author(s): (School of Energy and Environment, Southeast University, Nanjing, People’s Republic of China)
(School of Energy and Environment, Southeast University, Nanjing, People’s Republic of China)
(Wuhan CEC Energy-Saving Co.Ltd, Wuhan, People’s Republic of China)
(Wuhan CEC Energy-Saving Co.Ltd, Wuhan, People’s Republic of China)
(School of Energy and Environment, Southeast University, Nanjing, People’s Republic of China)
(School of Energy and Environment, Southeast University, Nanjing, People’s Republic of China)
Medium: journal article
Language(s): English
Published in: Journal of Building Performance Simulation, , n. 6, v. 17
Page(s): 1-14
DOI: 10.1080/19401493.2024.2403027
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: 10.1080/19401493.2024.2403027.
  • About this
    data sheet
  • Reference-ID
    10800408
  • Published on:
    23/09/2024
  • Last updated on:
    10/11/2024
 
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