Keywords:
- Artificial intelligence
- Bayesian calibration
- Building simulation
- building stocks
- deep learning
- energy modelling
- global sensitivity analysis
- HVAC control
- Level of Detail
- machine learning
- parameter screening
- Q-learning
- reinforcement learning
- Smart cities
- Smart grid
- Sobol’ indices
- Sobol’ method
- sustainable urban planning
- Temporal and spatial resolution
- urban energy modeling
Publications of Zoltán Nagy
2023
| How spatio-temporal resolution impacts urban energy calibration, , , , , and , in: Energy and Buildings, 292(113175), 2023 |
[DOI] [URL] |
2022
| Ranking parameters in urban energy models for various building forms and climates using sensitivity analysis, , , and , in: Building Simulation, 2022 |
[DOI] |
2019
| CityLearn v1.0: An OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning, , , and , in: Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, New-York, USA, pages 356-357, ACM, 2019 |
[DOI] |
| Multi-agent reinforcement learning for adaptive demand response in smart cities, , , , and , in: Journal of Physics: Conference Series, IOP Publishing Ltd, 2019 |
[DOI] |
2018
| Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities, , , and , in: Sustainable Cities and Society, 2018 |
[DOI] |