Članki z zahtevami za javni dostop - Draguna VrabieVeč o tem
Ni na voljo nikjer: 8
Simulation and experimental demonstration of model predictive control in a building HVAC system
P Li, D Vrabie, D Li, SC Bengea, S Mijanovic, ZD O’Neill
Science and Technology for the Built Environment 21 (6), 721-732, 2015
Zahteve: US Department of Energy
Metagames and Hypergames for Deception-Robust Control
C Bakker, A Bhattacharya, S Chatterjee, DL Vrabie
ACM Transactions on Cyber-Physical Systems 5 (3), 1-25, 2021
Zahteve: US Department of Energy
Co-Design of Commercial Building HVAC using Bayesian Optimization
S Vasisht, A Bhattacharya, S Huang, H Sharma, V Adetola, D Vrabie
2021 American Control Conference (ACC), 366-372, 2021
Zahteve: US Department of Energy
Reinforcement learning with applications in autonomous control and game theory
KG Vamvoudakis, FL Lewis, D Vrabie
HANDBOOK ON COMPUTER LEARNING AND INTELLIGENCE: Volume 2: Deep Learning …, 2022
Zahteve: US National Science Foundation, US Department of Defense
Cyber Threat Screening Using a Queuing-Based Game-Theoretic Approach
A Bhattacharya, SD Bopardikar, S Chatterjee, D Vrabie
Journal of Information Warfare 18 (4), 37-IX, 2019
Zahteve: US Department of Energy
Deception-Based Cyber Attacks on Hierarchical Control Systems using Domain-Aware Koopman Learning*
C Bakker, A August, S Huang, S Vasisht, DL Vrabie
2022 Resilience Week (RWS), 1-8, 2022
Zahteve: US Department of Energy
Sensor and Actuator Attacks on Hierarchical Control Systems with Domain-Aware Operator Theory
C Bakker, S Vasisht, S Huang, DL Vrabie
2023 Resilience Week (RWS), 1-8, 2023
Zahteve: US Department of Energy
Data-Driven Model Generation for Deception Defence of Cyber-Physical Environments
K Nowak, J Brandi-Lozano, W Hofer, TW Edgar, D Vrabie
Journal of Information Warfare 20 (2), 27-41, 2021
Zahteve: US Department of Energy
Na voljo nekje: 71
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
Zahteve: US Department of Energy, European Commission
Physics-constrained deep learning of multi-zone building thermal dynamics
J Drgoňa, AR Tuor, V Chandan, DL Vrabie
Energy and Buildings 243, 110992, 2021
Zahteve: US Department of Energy
Building optimization testing framework (BOPTEST) for simulation-based benchmarking of control strategies in buildings
D Blum, J Arroyo, S Huang, J Drgoňa, F Jorissen, HT Walnum, Y Chen, ...
Journal of Building Performance Simulation 14 (5), 586-610, 2021
Zahteve: US Department of Energy, Research Council of Norway
Sensor impacts on building and HVAC controls: A critical review for building energy performance
Y Bae, S Bhattacharya, B Cui, S Lee, Y Li, L Zhang, P Im, V Adetola, ...
Advances in Applied Energy 4, 100068, 2021
Zahteve: US Department of Energy
Ten questions concerning reinforcement learning for building energy management
Z Nagy, G Henze, S Dey, J Arroyo, L Helsen, X Zhang, B Chen, ...
Building and Environment, 110435, 2023
Zahteve: US Department of Energy
Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems
J Drgoňa, K Kiš, A Tuor, D Vrabie, M Klaučo
Journal of Process Control 116, 80-92, 2022
Zahteve: US Department of Energy
Sensor impact evaluation and verification for fault detection and diagnostics in building energy systems: A review
L Zhang, M Leach, Y Bae, B Cui, S Bhattacharya, S Lee, P Im, V Adetola, ...
Advances in Applied Energy 3, 100055, 2021
Zahteve: US Department of Energy, European Commission
Characterization and survey of automated fault detection and diagnostic tools
J Granderson, R Singla, E Mayhorn, P Ehrlich, D Vrabie, S Frank
Report Number LBNL-2001075, 2017
Zahteve: US Department of Energy
Prototyping the BOPTEST framework for simulation-based testing of advanced control strategies in buildings
D Blum, F Jorissen, S Huang, Y Chen, J Arroyo, K Benne, Y Li, V Gavan, ...
Zahteve: US Department of Energy, European Commission
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
TX Nghiem, J Drgoňa, C Jones, Z Nagy, R Schwan, B Dey, A Chakrabarty, ...
2023 American Control Conference (ACC), 3735-3750, 2023
Zahteve: US National Science Foundation, US Department of Energy, Swiss National …
Commercial fault detection and diagnostics tools: what they offer, how they differ, and what’s still needed
J Granderson, G Lin, R Singla, E Mayhorn, P Ehrlich, D Vrabie, S Frank
Zahteve: US Department of Energy
Innovations in sensors and controls for building energy management: Research and development opportunities report for emerging technologies
M Sofos, JT Langevin, M Deru, E Gupta, KS Benne, D Blum, T Bohn, ...
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2020
Zahteve: US Department of Energy
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