[HTML][HTML] Physical energy and data-driven models in building energy prediction: A review
The difficulty in balancing energy supply and demand is increasing due to the growth of
diversified and flexible building energy resources, particularly the rapid development of …
diversified and flexible building energy resources, particularly the rapid development of …
[HTML][HTML] A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment
The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
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 …
Impact of urban form on building energy consumption and solar energy potential: A case study of residential blocks in Jianhu, China
Urban form can significantly affect building energy consumption and solar energy potential,
which is essential to sustainable urban development. However, few studies have proposed …
which is essential to sustainable urban development. However, few studies have proposed …
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 …
A review of occupancy-based building energy and IEQ controls and its future post-COVID
Occupancy schedules and density can have a substantial influence on building plug,
lighting, and air conditioning energy usage. In recent years, the study related to occupancy …
lighting, and air conditioning energy usage. In recent years, the study related to occupancy …
Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review
Traditional occupant behavior modeling has been studied at the building level, and it has
become an important factor in the investigation of building energy consumption. However …
become an important factor in the investigation of building energy consumption. However …
Probabilistic electrical load forecasting for buildings using Bayesian deep neural networks
Deep learning techniques are increasingly applied in building electrical load analysis
thanks to the enrichment of information-intensive sensory data. However, uncertainty is …
thanks to the enrichment of information-intensive sensory data. However, uncertainty is …
Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings
Occupancy information is one of the crucial variables in modelling and predicting the energy
use in buildings. However, the presence of occupants is often stochastic in nature. In the …
use in buildings. However, the presence of occupants is often stochastic in nature. In 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 …