[HTML][HTML] A review on zero energy buildings–Pros and cons
Enhancing the energy efficiency of structures has been a staple of energy policies. The key
goal is to slash electricity usage in order to minimize the footprint of houses. This goal is …
goal is to slash electricity usage in order to minimize the footprint of houses. This goal is …
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 …
Impacts of the COVID-19 lockdown on energy consumption in a Canadian social housing building
J Rouleau, L Gosselin - Applied Energy, 2021 - Elsevier
The COVID-19 pandemic hit societies in full force in 2020 and compelled people all around
the world to change their lifestyle. The time spent at home significantly surged during the …
the world to change their lifestyle. The time spent at home significantly surged during the …
Deep learning-based industry 4.0 and internet of things towards effective energy management for smart buildings
Worldwide, energy consumption and saving represent the main challenges for all sectors,
most importantly in industrial and domestic sectors. The internet of things (IoT) is a new …
most importantly in industrial and domestic sectors. The internet of things (IoT) is a new …
[HTML][HTML] Generative pre-trained transformers (GPT)-based automated data mining for building energy management: Advantages, limitations and the future
Advanced data mining methods have shown a promising capacity in building energy
management. However, in the past decade, such methods are rarely applied in practice …
management. However, in the past decade, such methods are rarely applied in practice …
[HTML][HTML] An improved attention-based deep learning approach for robust cooling load prediction: Public building cases under diverse occupancy schedules
Abstract Space cooling in buildings is responsible for massive energy consumption and
carbon emissions. Accurate cooling load prediction can facilitate the implementation of …
carbon emissions. Accurate cooling load prediction can facilitate the implementation of …
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 …
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 …
Transfer learning for thermal comfort prediction in multiple cities
Abstract The HVAC (Heating, Ventilation and Air Conditioning) system is an important part of
a building, which constitutes up to 40% of building energy usage. The main purpose of …
a building, which constitutes up to 40% of building energy usage. The main purpose of …
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 …