[HTML][HTML] State-of-the-art review of occupant behavior modeling and implementation in building performance simulation
Occupant Behavior (OB) is one of the major drivers of building energy consumption.
However, OB is usually oversimplified in Building Performance Simulation (BPS), resulting …
However, OB is usually oversimplified in Building Performance Simulation (BPS), resulting …
A systematic review and comprehensive analysis of building occupancy prediction
T Li, X Liu, G Li, X Wang, J Ma, C Xu, Q Mao - Renewable and Sustainable …, 2024 - Elsevier
Buildings account for a significant portion of the global energy consumption. Forecasting
personnel occupancy is critical for reducing energy consumption in buildings. This study …
personnel occupancy is critical for reducing energy consumption in buildings. This study …
Environmental performance evaluation of electric enterprises during a power crisis: Evidence from DEA methods and AI prediction algorithms
Y Pan, CC Zhang, CC Lee, S Lv - Energy Economics, 2024 - Elsevier
With the continuous occurrence of power crisis events worldwide, meeting society's demand
for electricity has kept coal-fired power generation high, which leads to a large amount of …
for electricity has kept coal-fired power generation high, which leads to a large amount of …
[HTML][HTML] An interpretable multi-stage forecasting framework for energy consumption and CO2 emissions for the transportation sector
The transportation sector is deemed one of the primary sources of energy consumption and
greenhouse gases throughout the world. To realise and design sustainable transport, it is …
greenhouse gases throughout the world. To realise and design sustainable transport, it is …
Exploring the benefits and limitations of digital twin technology in building energy
F Tahmasebinia, L Lin, S Wu, Y Kang, S Sepasgozar - Applied Sciences, 2023 - mdpi.com
Buildings consume a significant amount of energy throughout their lifecycle; Thus,
sustainable energy management is crucial for all buildings, and controlling energy …
sustainable energy management is crucial for all buildings, and controlling energy …
Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation
The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …
[HTML][HTML] Developing a machine learning based building energy consumption prediction approach using limited data: Boruta feature selection and empirical mode …
Artificial Intelligence methods (AI) have been widely applied in building energy consumption
prediction. As data-intensive methods, lacking sufficient input features will significantly …
prediction. As data-intensive methods, lacking sufficient input features will significantly …
Improving building energy consumption prediction using occupant-building interaction inputs and improved swarm intelligent algorithms
C Zhang, L Ma, X Han, T Zhao - Journal of Building Engineering, 2023 - Elsevier
Building energy consumption prediction is important for sustainable building and city
construction. However, traditional data-driven prediction methods weakly consider real-time …
construction. However, traditional data-driven prediction methods weakly consider real-time …
A review of validation methods for building energy modeling programs
Building energy simulation analysis plays an important supporting role in the conservation of
building energy. Since the early 1980s, researchers have focused on the development and …
building energy. Since the early 1980s, researchers have focused on the development and …
[HTML][HTML] An interactive agent-based modelling framework for assessing COVID-19 transmission risk on construction site
The outbreak of COVID-19 has impacted the world and society in its entirety. The labour-
intensive construction industry is especially disrupted by COVID-19 and construction …
intensive construction industry is especially disrupted by COVID-19 and construction …