[HTML][HTML] State-of-the-art review of occupant behavior modeling and implementation in building performance simulation

O Ahmed, N Sezer, M Ouf, LL Wang… - … and Sustainable Energy …, 2023 - Elsevier
Occupant Behavior (OB) is one of the major drivers of building energy consumption.
However, OB is usually oversimplified in Building Performance Simulation (BPS), resulting …

In situ modeling methodologies in building operation: A review

S Yoon - Building and Environment, 2023 - Elsevier
The building information and operational data generated during the building life cycle are
essential for realizing energy-efficient operation, indoor environmental quality, and …

Ten questions concerning reinforcement learning for building energy management

Z Nagy, G Henze, S Dey, J Arroyo, L Helsen… - Building and …, 2023 - Elsevier
As buildings account for approximately 40% of global energy consumption and associated
greenhouse gas emissions, their role in decarbonizing the power grid is crucial. The …

[HTML][HTML] Building electrification and carbon emissions: Integrated energy management considering the dynamics of the electricity mix and pricing

S Yang, HO Gao, F You - Advances in Applied Energy, 2023 - Elsevier
Electrification and distributed energy resources (DERs) are vital for reducing the building
sector's carbon footprint. However, conventional reactive control is insufficient in addressing …

PANDEMIC: Occupancy driven predictive ventilation control to minimize energy consumption and infection risk

Z Jiang, Z Deng, X Wang, B Dong - Applied Energy, 2023 - Elsevier
Abstract During the SARS-CoV-2 (COVID-19) pandemic, governments around the world
have formulated policies requiring ventilation systems to operate at a higher outdoor fresh …

Occupant behavior impact in buildings and the artificial intelligence-based techniques and data-driven approach solutions

B Yan, W Yang, F He, W Zeng - Renewable and Sustainable Energy …, 2023 - Elsevier
Occupant behavior in buildings might result into gap between predicted and actual energy
use and cause indoor thermal comfort fluctuations, due to its uncertainty and …

Augmenting energy time-series for data-efficient imputation of missing values

A Liguori, R Markovic, M Ferrando, J Frisch, F Causone… - Applied Energy, 2023 - Elsevier
This study explores the applicability of data augmentation techniques for reconstructing
missing energy time-series in limited data regimes. In particular, multiple synthetic copies of …

[HTML][HTML] DMFF: Deep multimodel feature fusion for building occupancy detection

K Sun - Building and Environment, 2024 - Elsevier
Abstract The 2022 Global Status Report for Buildings and Construction (Buildings-GSR)
indicates that construction activities have returned to pre-pandemic levels in most major …

[HTML][HTML] Occupant-oriented demand response with multi-zone thermal building control

M Frahm, T Dengiz, P Zwickel, H Maaß, J Matthes… - Applied Energy, 2023 - Elsevier
In future energy systems with high shares of renewable energy sources, the electricity
demand of buildings has to react to the fluctuating electricity generation in view of stability …

[HTML][HTML] Analysis of window opening in arctic community housing and development of data-driven models

A Cavalerie, L Gosselin - Building and Environment, 2024 - Elsevier
Achieving low-energy, comfortable buildings in remote Arctic regions like Nunavik, Canada,
presents multiple challenges due to high heating demand and limited energy supply …