| 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 |
Representative days selection for district energy system optimisation: a solar district heating system with seasonal storage
van der Heijde B, Vandermeulen A, Salenbien R, Helsen L
Applied Energy, 248, 79, 2019 |
| 3 |
Approximate model predictive building control via machine learning
Drgona J, Picard D, Kvasnica M, Helsen L
Applied Energy, 218, 199, 2018 |
| 4 |
Impact of demand controlled ventilation on system performance and energy use
Delwati M, Merema B, Breesch H, Helsen L, Sourbron M
Energy and Buildings, 174, 111, 2018 |
| 5 |
Control-oriented modeling of geothermal borefield thermal dynamics through Hammerstein-Wiener models
Atam E, Schulte DO, Arteconi A, Sass I, Helsen L
Renewable Energy, 120, 468, 2018 |
| 6 |
Reduction of heat pump induced peak electricity use and required generation capacity through thermal energy storage and demand response
Baeten B, Rogiers F, Helsen L
Applied Energy, 195, 184, 2017 |
| 7 |
Data-driven models for short-term thermal behaviour prediction in real buildings
Ferracuti F, Fonti A, Ciabattoni L, Pizzuti S, Arteconi A, Helsen L, Comodi G
Applied Energy, 204, 1375, 2017 |
| 8 |
Economic impact of persistent sensor and actuator faults in concrete core activated office buildings
Verhelst J, Van Ham G, Saelens D, Helsen L
Energy and Buildings, 142, 111, 2017 |
| 9 |
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 |
| 10 |
Dynamic equation-based thermo-hydraulic pipe model for district heating and cooling systems
van der Heijde B, Fuchs M, Tugores CR, Schweiger G, Sartor K, Basciotti D, Muller D, Nytsch-Geusen C, Wetter M, Helsen L
Energy Conversion and Management, 151, 158, 2017 |
