Zoltan Nagy
Zitiert von
Zitiert von
Reinforcement learning for demand response: A review of algorithms and modeling techniques
JR Vázquez-Canteli, Z Nagy
Applied energy 235, 1072-1089, 2019
Robotics in the small, part I: microbotics
JJ Abbott, Z Nagy, F Beyeler, BJ Nelson
IEEE Robotics & Automation Magazine 14 (2), 92-103, 2007
Using machine learning techniques for occupancy-prediction-based cooling control in office buildings
Y Peng, A Rysanek, Z Nagy, A Schlüter
Applied energy 211, 1343-1358, 2018
Comprehensive analysis of the relationship between thermal comfort and building control research-A data-driven literature review
JY Park, Z Nagy
Renewable and Sustainable Energy Reviews 82, 2664-2679, 2018
Introducing IEA EBC annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation
W O'Brien, A Wagner, M Schweiker, A Mahdavi, J Day, MB Kjærgaard, ...
Building and Environment 178, 106738, 2020
A critical review of field implementations of occupant-centric building controls
JY Park, MM Ouf, B Gunay, Y Peng, W O'Brien, MB Kjærgaard, Z Nagy
Building and Environment 165, 106351, 2019
Occupant centered lighting control for comfort and energy efficient building operation
Z Nagy, FY Yong, M Frei, A Schlueter
Energy and Buildings 94, 100-108, 2015
Reinforcement learning for optimal control of low exergy buildings
L Yang, Z Nagy, P Goffin, A Schlueter
Applied Energy 156, 577-586, 2015
Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities
JR Vázquez-Canteli, S Ulyanin, J Kämpf, Z Nagy
Sustainable cities and society 45, 243-257, 2019
Automated daily pattern filtering of measured building performance data
C Miller, Z Nagy, A Schlueter
Automation in Construction 49, 1-17, 2015
LightLearn: An adaptive and occupant centered controller for lighting based on reinforcement learning
JY Park, T Dougherty, H Fritz, Z Nagy
Building and Environment 147, 397-414, 2019
Optimising building net energy demand with dynamic BIPV shading
P Jayathissa, M Luzzatto, J Schmidli, J Hofer, Z Nagy, A Schlueter
Applied Energy 202, 726-735, 2017
The adaptive solar facade: from concept to prototypes
Z Nagy, B Svetozarevic, P Jayathissa, M Begle, J Hofer, G Lydon, ...
Frontiers of Architectural Research 5 (2), 143-156, 2016
A review of unsupervised statistical learning and visual analytics techniques applied to performance analysis of non-residential buildings
C Miller, Z Nagy, A Schlueter
Renewable and Sustainable Energy Reviews 81, 1365-1377, 2018
The building data genome project 2, energy meter data from the ASHRAE great energy predictor III competition
C Miller, A Kathirgamanathan, B Picchetti, P Arjunan, JY Park, Z Nagy, ...
Scientific data 7 (1), 368, 2020
Optimal decarbonization pathways for urban residential building energy services
BD Leibowicz, CM Lanham, MT Brozynski, JR Vázquez-Canteli, ...
Applied energy 230, 1311-1325, 2018
CityLearn v1. 0: An OpenAI gym environment for demand response with deep reinforcement learning
JR Vázquez-Canteli, J Kämpf, G Henze, Z Nagy
Proceedings of the 6th ACM international conference on systems for energy …, 2019
Occupancy learning-based demand-driven cooling control for office spaces
Y Peng, A Rysanek, Z Nagy, A Schlüter
Building and Environment 122, 145-160, 2017
Temperature-preference learning with neural networks for occupant-centric building indoor climate controls
Y Peng, Z Nagy, A Schlüter
Building and Environment 154, 296-308, 2019
Occupant centered lighting control: A user study on balancing comfort, acceptance, and energy consumption
Z Nagy, FY Yong, A Schlueter
Energy and buildings 126, 310-322, 2016
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