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Model-predictive space heating control for energy flexibility – a case study using a long short-term memory neural network surrogate model and a genetic optimization algorithm

Author(s): ORCID (Amsterdam University of Applied Sciences, Amsterdam, The Netherlands)
(Amsterdam University of Applied Sciences, Amsterdam, The Netherlands)
(Amsterdam University of Applied Sciences, Amsterdam, The Netherlands)
(Amsterdam University of Applied Sciences, Amsterdam, The Netherlands)
Medium: journal article
Language(s): English
Published in: Journal of Building Performance Simulation
Page(s): 1-20
DOI: 10.1080/19401493.2024.2371918
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: 10.1080/19401493.2024.2371918.
  • About this
    data sheet
  • Reference-ID
    10797268
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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