[HTML][HTML] Sensitivity analysis approaches in multi-criteria decision analysis: A systematic review

J Więckowski, W Sałabun - Applied Soft Computing, 2023 - Elsevier
In the field of Multi-Criteria Decision Analysis (MCDA), the deployment of sensitivity analysis
has become a fundamental approach to testing the robustness and reliability of the results …

Surrogate modelling for sustainable building design–A review

P Westermann, R Evins - Energy and Buildings, 2019 - Elsevier
Statistical models can be used as surrogates of detailed simulation models. Their key
advantage is that they are evaluated at low computational cost which can remove …

[HTML][HTML] Multiobjective optimization of building energy consumption and thermal comfort based on integrated BIM framework with machine learning-NSGA II

HH Hosamo, MS Tingstveit, HK Nielsen… - Energy and …, 2022 - Elsevier
Detailed parametric analysis and measurements are required to reduce building energy
usage while maintaining acceptable thermal conditions. This research suggested a system …

An overview of multi-criteria decision-making methods in dealing with sustainable energy development issues

I Siksnelyte, EK Zavadskas, D Streimikiene, D Sharma - Energies, 2018 - mdpi.com
The measurement of sustainability is actively used today as one of the main preventative
instruments in order to reduce the decline of the environment. Sustainable decision-making …

The role of sensitivity analysis in the building performance analysis: A critical review

Z Pang, Z O'Neill, Y Li, F Niu - Energy and Buildings, 2020 - Elsevier
A building system is highly nonlinear and commonly includes a variety of parameters
ranging from the architectural design to the building mechanical and energy system. Serving …

A comparison of six metamodeling techniques applied to building performance simulations

T Østergård, RL Jensen, SE Maagaard - Applied Energy, 2018 - Elsevier
Building performance simulations (BPS) are used to test different designs and systems with
the intention of reducing building costs and energy demand while ensuring a comfortable …

Application and characterization of metamodels based on artificial neural networks for building performance simulation: A systematic review

ND Roman, F Bre, VD Fachinotti, R Lamberts - Energy and Buildings, 2020 - Elsevier
In most of the countries, buildings are often one of the major energy consumers, leading to
the necessity of achieving sustainable building designs, and to the mandatory use of …

Identifying relative importance of solar design determinants on office building façade for cooling loads and thermal comfort in hot-humid climates

RL Hwang, WA Chen - Building and Environment, 2022 - Elsevier
Solar radiation makes great influence on cooling load and occupants' well-being in hot and
humid climate zone. Particularly, occupants suffered different extent of solar radiation owing …

A metamodel for building information modeling-building energy modeling integration in early design stage

MK Bracht, AP Melo, R Lamberts - Automation in Construction, 2021 - Elsevier
Full interoperability between BIM and energy simulation tools has not yet been achieved.
Performance prediction metamodels can help to overcome this issue and serve as an …

[HTML][HTML] Identification of typical district configurations: A two-step global sensitivity analysis framework

A Chuat, C Terrier, J Schnidrig, F Maréchal - Energy, 2024 - Elsevier
The recent geopolitical conflicts in Europe have underscored the vulnerability of the current
energy system to the volatility of energy carrier prices. In the prospect of defining robust …