| 1 |
Cloud-based implementation of white-box model predictive control for a GEOTABS office building: A field test demonstration
Drgona J, Picard D, Helsen L
Journal of Process Control, 88, 63, 2020 |
| 2 |
A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings
Chaudhuri T, Soh YC, Li H, Xie L
Applied Energy, 248, 44, 2019 |
| 3 |
Economic model predictive control of combined thermal and electric residential building energy systems
Kuboth S, Heberle F, Konig-Haagen A, Bruggemann D
Applied Energy, 240, 372, 2019 |
| 4 |
Approximate model predictive building control via machine learning
Drgona J, Picard D, Kvasnica M, Helsen L
Applied Energy, 218, 199, 2018 |
| 5 |
Climate control in broiler houses: A thermal model for the calculation of the energy use and indoor environmental conditions
Costantino A, Fabrizio E, Ghiggini A, Bariani M
Energy and Buildings, 169, 110, 2018 |
| 6 |
Non-intrusive occupancy monitoring for energy conservation in commercial buildings
Ardakanian O, Bhattacharya A, Culler D
Energy and Buildings, 179, 311, 2018 |
| 7 |
An experimental study on the effect of a rock-bed heating system on the microclimate and the crop development under canarian greenhouse
Bazgaou A, Fatnassi H, Bouhroud R, Gourdo L, Ezzaeri K, Tiskatine R, Demrati H, Wifaya A, Bekkaoui A, Aharoune A, Bouirden L
Solar Energy, 176, 42, 2018 |
| 8 |
A thermophysical battery for storage-based climate control
Narayanan S, Kim H, Umans A, Yang S, Li XS, Schiffres SN, Rao SR, McKay IS, Perez CAR, Hidrovo CH, Wang EN
Applied Energy, 189, 31, 2017 |
| 9 |
Generalized online transfer learning for climate control in residential buildings
Grubinger T, Chasparis GC, Natschlager T
Energy and Buildings, 139, 63, 2017 |
| 10 |
Impact of the controller model complexity on model predictive control performance for buildings
Picard D, Drgona J, Kvasnica M, Helsen L
Energy and Buildings, 152, 739, 2017 |
