| 1 |
Energy savings potential of passive chilled beams vs air systems in various US climatic zones with different system configurations
Kim J, Tzempelikos A, Braun JE
Energy and Buildings, 186, 244, 2019 |
| 2 |
Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning
Zhang ZA, Chong A, Pan YQ, Zhang CL, Lam KP
Energy and Buildings, 199, 472, 2019 |
| 3 |
An exploration of the relationship between improvements in energy efficiency and life-cycle energy and carbon emissions using the BIRDS low-energy residential database
Kneifel J, O'Rear E, Webb D, O'Fallon C
Energy and Buildings, 160, 19, 2018 |
| 4 |
Accuracy of automated measurement and verification (M&V) techniques for energy savings in commercial buildings
Granderson J, Touzani S, Custodio C, Sohn MD, Jump D, Fernandes S
Applied Energy, 173, 296, 2016 |
| 5 |
Predicting energy performance of a net-zero energy building: A statistical approach
Kneifel J, Webb D
Applied Energy, 178, 468, 2016 |
| 6 |
2D whole-building hygrothermal simulation analysis based on a PGD reduced order model
Berger J, Mazuroski W, Mendes N, Guernouti S, Woloszyn M
Energy and Buildings, 112, 49, 2016 |
| 7 |
Dynamic effect of balcony thermal bridges on the energy performance of a high-rise residential building in Canada
Baba F, Ge H
Energy and Buildings, 116, 78, 2016 |
| 8 |
There's a measure for that!
Roth A, Goldwasser D, Parker A
Energy and Buildings, 117, 321, 2016 |
| 9 |
Automated measurement and verification: Performance of public domain whole-building electric baseline models
Granderson J, Price PN, Jump D, Addy N, Sohn MD
Applied Energy, 144, 106, 2015 |
| 10 |
Benchmarking whole-building energy performance with multi-criteria technique for order preference by similarity to ideal solution using a selective objective-weighting approach
Wang ED
Applied Energy, 146, 92, 2015 |
