Does telecommuting save energy? A critical review of quantitative studies and their research methods

W O'Brien, FY Aliabadi - Energy and Buildings, 2020 - Elsevier
Teleworking has been widely perceived as a more sustainable mode of working for
knowledge workers compared to the status quo of commuting to centralized offices because …

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] Dynamic façades in buildings: A systematic review across thermal comfort, energy efficiency and daylight performance

M Gonçalves, A Figueiredo, R Almeida… - … and Sustainable Energy …, 2024 - Elsevier
The impact of building sector on carbon mitigation has prompted an increased focus on the
energy performance of the built environment. Conventional buildings often suffer from a …

A critical review of field implementations of occupant-centric building controls

JY Park, MM Ouf, B Gunay, Y Peng, W O'Brien… - Building and …, 2019 - Elsevier
Recent developments in information and communication technology have sparked the
notion of smart buildings; an example of which is occupant-centric control (OCC). In this …

Machine learning methods in smart lighting toward achieving user comfort: A survey

AG Putrada, M Abdurohman, D Perdana… - IEEE access, 2022 - ieeexplore.ieee.org
Smart lighting has become a universal smart product solution, with global revenues of up to
US 5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) …

LightLearn: An adaptive and occupant centered controller for lighting based on reinforcement learning

JY Park, T Dougherty, H Fritz, Z Nagy - Building and Environment, 2019 - Elsevier
In commercial buildings, lighting contributes to about 20% of the total energy consumption.
Lighting controllers that integrate occupancy and luminosity sensors to improve energy …

Clustering-based analysis for residential district heating data

P Gianniou, X Liu, A Heller, PS Nielsen… - Energy conversion and …, 2018 - Elsevier
The wide use of smart meters enables collection of a large amount of fine-granular time
series, which can be used to improve the understanding of consumption behavior and used …