| 1 |
Carbon dioxide-based occupancy estimation using stochastic differential equations
Wolf S, Cali D, Krogstie J, Madsen H
Applied Energy, 236, 32, 2019 |
| 2 |
Achieving natural ventilation potential in practice: Control schemes and levels of automation
Chen YJ, Tong ZM, Wu WT, Samuelson H, Malkawi A, Norford L
Applied Energy, 235, 1141, 2019 |
| 3 |
Unmasking the causal relationships latent in the interplay between occupant's actions and indoor ambience: A building energy management outlook
Pal M, Alyafi AA, Ploix S, Reignier P, Bandyopadhyay S
Applied Energy, 238, 1452, 2019 |
| 4 |
Data fusion in predicting internal heat gains for office buildings through a deep learning approach
Wang Z, Hong TZ, Piette MA
Applied Energy, 240, 386, 2019 |
| 5 |
Investigating structural and occupant drivers of annual residential electricity consumption using regularization in regression models
Satre-Meloy A
Energy, 174, 148, 2019 |
| 6 |
A multi-objective optimization model for determining the building design and occupant behaviors based on energy, economic, and environmental performance
Hong T, Kim J, Lee M
Energy, 174, 823, 2019 |
| 7 |
Predicting plug loads with occupant count data through a deep learning approach
Wang Z, Hong TZ, Piette MA
Energy, 181, 29, 2019 |
| 8 |
Occupant behavior long-term continuous monitoring integrated to prediction models: Impact on office building energy performance
Piselli C, Pisello AL
Energy, 176, 667, 2019 |
| 9 |
Learning short-term past as predictor of window opening-related human behavior in commercial buildings
Markovic R, Frisch J, van Treeck C
Energy and Buildings, 185, 1, 2019 |
| 10 |
Physical environmental and contextual drivers of occupants' manual space heating override behaviour in UK residential buildings
Bruce-Konuah A, Jones RV, Fuertes A
Energy and Buildings, 183, 129, 2019 |
