Influence of data preprocessing on neural network performance for reproducing CFD simulations of non-isothermal indoor airflow distribution

This publication has 44 references indexed in Scilit:

• Comparison of different deep neural network architectures for isothermal indoor airflow prediction
  Building Simulation, 2020
• An ANN-based fast building energy consumption prediction method for complex architectural form at the early design stage
  Building Simulation, 2019
• Modeling indoor air carbon dioxide concentration using artificial neural network
  International Journal of Environmental Science and Technology, 2018
• Australian Literary Journalism and “Missing Voices”
  Journalism Practice, 2015
• A review on simulation-based optimization methods applied to building performance analysis
  Applied Energy, 2014
• Optimization of window-openings design for thermal comfort in naturally ventilated buildings
  Applied Mathematical Modelling, 2012
• Control of indoor thermal environment based on concept of contribution ratio of indoor climate
  Building Simulation, 2010
• Evaluation of Various Turbulence Models in Predicting Airflow and Turbulence in Enclosed Environments by CFD: Part 2—Comparison with Experimental Data from Literature
  HVAC&R Research, 2007
• Application of ANN to explore the potential use of natural ventilation in buildings in Turkey
  Applied Thermal Engineering, 2007
• On approaches to couple energy simulation and computational fluid dynamics programs
  Building and Environment, 2002