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Application and characterization of metamodels based on artificial neural networks for building performance simulation: A systematic review
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 …
the necessity of achieving sustainable building designs, and to the mandatory use of …
Review on building energy model calibration by Bayesian inference
A building energy model (BEM) is essential for understanding building energy consumption,
evaluating energy-saving measures, and develo** associated codes, standards, and …
evaluating energy-saving measures, and develo** associated codes, standards, and …
Data sources and approaches for building occupancy profiles at the urban scale–A review
Buildings' occupant profiles at the urban scale play an important role in various applications
like Urban Building Energy Modeling (UBEM) and assessing energy consumption patterns …
like Urban Building Energy Modeling (UBEM) and assessing energy consumption patterns …
Validation of virtual sensor-assisted Bayesian inference-based in-situ sensor calibration strategy for building HVAC systems
G Li, J **ong, S Sun, J Chen - Building Simulation, 2023 - Springer
For building heating, ventilation and air-conditioning systems (HVACs), sensor faults
significantly affect the operation and control. Sensors with accurate and reliable …
significantly affect the operation and control. Sensors with accurate and reliable …
Uncertainty calibration of building energy models by combining approximate Bayesian computation and machine learning algorithms
C Zhu, W Tian, B Yin, Z Li, J Shi - Applied Energy, 2020 - Elsevier
Bayesian analysis has attracted more attention in calibrating building energy models since it
can naturally account for uncertainty of input parameters. However, standard Bayesian …
can naturally account for uncertainty of input parameters. However, standard Bayesian …
Application of BEM and using BIM database for BEM: A review
Abstract This paper reviews Building Energy Modeling (BEM) development using
classification and review of articles for the recent years (2015–2018) to explore how much …
classification and review of articles for the recent years (2015–2018) to explore how much …
A meta-model-based optimization approach for fast and reliable calibration of building energy models
Building energy model calibration with optimization aims to bridge the gap between
simulated energy consumption and measurement, thus aiding building retrofit and …
simulated energy consumption and measurement, thus aiding building retrofit and …
Bayesian calibration of building energy models for uncertainty analysis through test cells monitoring
Improving the energy efficiency of existing buildings is a priority for meeting energy
consumption and CO 2 emission targets in buildings. Building simulation tools play a crucial …
consumption and CO 2 emission targets in buildings. Building simulation tools play a crucial …
Modeling occupancy-driven building loads for large and diversified building stocks through the use of parametric schedules
Building energy modeling provides a fundamental tool to evaluate the potential for energy
efficiency to contribute to reducing world energy consumption and global emissions …
efficiency to contribute to reducing world energy consumption and global emissions …
[HTML][HTML] District heating network demand prediction using a physics-based energy model with a Bayesian approach for parameter calibration
Heat demand of a district heating network needs to be accurately predicted and managed to
reduce consumption and emissions. Detailed thermal parameters are essential for …
reduce consumption and emissions. Detailed thermal parameters are essential for …