Follow
Donghun Kim
Title
Cited by
Cited by
Year
All you need to know about model predictive control for buildings
J Drgoňa, J Arroyo, IC Figueroa, D Blum, K Arendt, D Kim, EP Ollé, ...
Annual Reviews in Control 50, 190-232, 2020
6652020
A general multi-agent control approach for building energy system optimization
J Cai, D Kim, R Jaramillo, JE Braun, J Hu
Energy and Buildings 127, 337-351, 2016
1142016
Field demonstration and implementation analysis of model predictive control in an office HVAC system
D Blum, Z Wang, C Weyandt, D Kim, M Wetter, T Hong, MA Piette
Applied energy 318, 119104, 2022
912022
System identification for building thermal systems under the presence of unmeasured disturbances in closed loop operation: Theoretical analysis and application
D Kim, J Cai, J Braun, K Ariyura
Energy and Buildings 167, 359-369, 2018
872018
Reduced-order building modeling for application to model-based predictive control
D Kim, JE Braun
SimBuild 2012 Conference in. Madison, Wisconsin. 1, 2, 2012
632012
Site demonstration and performance evaluation of MPC for a large chiller plant with TES for renewable energy integration and grid decarbonization
D Kim, Z Wang, J Brugger, D Blum, M Wetter, T Hong, MA Piette
Applied energy 321, 119343, 2022
482022
A general approach for generating reduced-order models for large multi-zone buildings
D Kim, JE Braun
Journal of Building Performance Simulation 8 (6), 435-448, 2015
472015
Development, implementation and performance of a model predictive controller for packaged air conditioners in small and medium-sized commercial building applications
D Kim, JE Braun
Energy and Buildings 178, 49-60, 2018
462018
Development and experimental demonstration of a plug-and-play multiple RTU coordination control algorithm for small/medium commercial buildings
D Kim, JE Braun, J Cai, DL Fugate
Energy and Buildings 107, 279-293, 2015
372015
Development, validation and application of a coupled reduced-order CFD model for building control applications
D Kim, JE Braun, EM Cliff, JT Borggaard
Building and Environment 93, 97-111, 2015
372015
General approaches for determining the savings potential of optimal control for cooling in commercial buildings having both energy and demand charges
J Cai, JE Braun, D Kim, J Hu
Science and Technology for the Built Environment 22 (6), 733-750, 2016
362016
Comparisons of building system modeling approaches for control system design
D Kim, W Zuo, JE Braun, M Wetter
362013
MPC solution for optimal load shifting for buildings with ON/OFF staged packaged units: Experimental demonstration, and lessons learned
D Kim, JE Braun
Energy and Buildings 266, 112118, 2022
332022
Multi-agent control for centralized air conditioning systems serving multi-zone buildings
J Cai, D Kim, VK Putta, JE Braun, J Hu
2015 American Control Conference (ACC), 986-993, 2015
322015
A multi-agent control based demand response strategy for multi-zone buildings
J Cai, JE Braun, D Kim, J Hu
2016 American Control Conference (ACC), 2365-2372, 2016
292016
Distributed model predictive control for building HVAC systems: A case study
VK Putta, D Kim, J Cai, J Hu, JE Braun
Proceedings of the 3rd International High Performance Buildings Conference, 2014
252014
A distributed approach to efficient model predictive control of building HVAC systems
V Putta, G Zhu, D Kim, J Hu, JE Braun
Proceedings of the 2nd International High Performance Building Conference, 2012
212012
A methodology for generating reduced-order models for large-scale buildings using the Krylov subspace method
D Kim, Y Bae, S Yun, JE Braun
Journal of Building Performance Simulation 13 (4), 419-429, 2020
192020
Optimizing zone temperature setpoint excitation to minimize training data for data-driven dynamic building models
J Cai, D Kim, JE Braun, J Hu
2016 American Control Conference (ACC), 1478-1484, 2016
192016
Comparative evaluation of model predictive control strategies for a building HVAC system
V Putta, G Zhu, D Kim, J Hu, J Braun
2013 American Control Conference, 3455-3460, 2013
192013
The system can't perform the operation now. Try again later.
Articles 1–20