| Reinforcement learning for demand response: A review of algorithms and modeling techniques JR Vázquez-Canteli, Z Nagy Applied energy 235, 1072-1089, 2019 | 568 | 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 | 421 | 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 | 299 | 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 | 258 | 2018 |
| 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 | 205 | 2015 |
| 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 | 200 | 2019 |
| 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 | 193 | 2020 |
| Reinforcement learning for optimal control of low exergy buildings L Yang, Z Nagy, P Goffin, A Schlueter Applied Energy 156, 577-586, 2015 | 182 | 2015 |
| Automated daily pattern filtering of measured building performance data C Miller, Z Nagy, A Schlueter Automation in Construction 49, 1-17, 2015 | 182 | 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 | 171 | 2019 |
| 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 | 166 | 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 | 164 | 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 | 162 | 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 | 155 | 2018 |
| Optimal decarbonization pathways for urban residential building energy services BD Leibowicz, CM Lanham, MT Brozynski, JR Vázquez-Canteli, ... Applied energy 230, 1311-1325, 2018 | 121 | 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 | 111 | 2020 |
| 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 | 103 | 2017 |
| 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 | 96 | 2019 |
| 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 | 85 | 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 | 85 | 2016 |
Arno SchlüterETH ZürichVerified email at arch.ethz.ch
