Direct and inverse simulations of hydrodynamic and thermal characteristics in a room with random boundary conditions by feedforward neural network modelling-Reference-Cited by-同舟云学术

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Direct and inverse simulations of hydrodynamic and thermal characteristics in a room with random boundary conditions by feedforward neural network modelling

Published:2024-08 Issue: Volume: Page:
ISSN:2666-1233
Container-title:Energy and Built Environment
language:en
Short-container-title:Energy and Built Environment

Author:

Nia Mohammad Foruzan,Hu Eric^ORCID,Ghayesh Mergen H.

Funder

University of Adelaide

Publisher

Elsevier BV

Reference37 articles.

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3. Comparing temperature and acoustic satisfaction in 60 radiant and all-air buildings;Karmann;Build. Environ.,2017

4. A review on simulation-based optimization methods applied to building performance analysis;Nguyen;Appl. Energy,2014

5. A review on modelling and simulation of building energy systems;Harish;Renew. Sustain. Energy Rev.,2016

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