Calibrating building energy simulation models: A review of the basics to guide future work
Building energy simulation (BES) plays a significant role in buildings with applications such
as architectural design, retrofit analysis, and optimizing building operation and controls …
as architectural design, retrofit analysis, and optimizing building operation and controls …
Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective
Abstract Model predictive control (MPC) has shown great potential in improving building
performance and saving energy. However, after over 20 years of research, it is yet to be …
performance and saving energy. However, after over 20 years of research, it is yet to be …
Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning
Whole building energy model (BEM) is a physics-based modeling method for building
energy simulation. It has been widely used in the building industry for code compliance …
energy simulation. It has been widely used in the building industry for code compliance …
Generative adversarial network for fault detection diagnosis of chillers
Automatic fault detection and diagnosis (AFDD) for chillers has significant impacts on energy
saving, indoor environment comfort and systematic building management. Recent works …
saving, indoor environment comfort and systematic building management. Recent works …
The role of sensitivity analysis in the building performance analysis: A critical review
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 …
ranging from the architectural design to the building mechanical and energy system. Serving …
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 developing associated codes, standards, and …
evaluating energy-saving measures, and developing associated codes, standards, and …
Improving energy flexibility and PV self-consumption for a tropical net zero energy office building
Building energy flexibility is crucial for improving the local consumption of renewable energy
and enhancing building self-sufficiency. The abundant solar energy resource in the tropics …
and enhancing building self-sufficiency. The abundant solar energy resource in the tropics …
Building categorization revisited: A clustering-based approach to using smart meter data for building energy benchmarking
Current building energy benchmarking systems categorize buildings into peer groups by
static characteristics such as climate zones and building types, which cannot account for the …
static characteristics such as climate zones and building types, which cannot account for the …
Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization
Reliable building simulation models are key to optimizing building performance and
reducing greenhouse gas emissions. Informed decision making requires simulation models …
reducing greenhouse gas emissions. Informed decision making requires simulation models …
Occupancy data at different spatial resolutions: Building energy performance and model calibration
Occupancy is a significant area of interest within the field of building performance simulation.
Through Bayesian calibration, the present study investigates the impact of the availability of …
Through Bayesian calibration, the present study investigates the impact of the availability of …