Keywords:
- Adaptive thermal comfort
- ASHRAE database
- Automatic control
- benchmarks
- data-driven
- Data-driven model
- daylighting
- daylighting and electric lighting
- destest
- district heating
- district heating networks
- dynamic simulations
- electric lighting
- energy
- energy balance
- energy simulation
- engineering model
- gradient boosting
- Integrated Lighting Controls
- machine learning
- Model Predictive Control (MPC)Blinds and electric lighting automated controlsDaylight and electric lighting predictive modelsControlled user experiment
- multi-scale
- PMV
- pydhn
- residential buildings
- sensitivity analysis
- space heating
- surrogate models
- sustainable urban planning
- Thermal comfort
- urban context
- urban energy modeling
- user experiment
- Visual comfort
Publications of Roberto Boghetti
2023
| A benchmark for the simulation of meshed district heating networks based on anonymised monitoring data, and , in: Journal of Physics: Conference Series, IOP Publishing Ltd, 2023 |
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| Development and comparison of adaptive data-driven models for thermal comfort assessment and control, , , , , and , in: Total Environment Research Themes, 8, 2023 |
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| Enhancing user acceptance in automated systems with human-centric lighting: the role of visual comfort, personality, and preference, , , , , , , and , in: Journal of Physics: Conference Series, IOP Publishing Ltd, 2023 |
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| Verification of PyDHN - a Python library for the thermo-hydraulic simulation of district heating networks - through the DESTEST, , and , in: Proceedings of Building Simulation 2023: 18th Conference of IBPSA, IBPSA, IBPSA, 2023 |
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2022
| An exploratory interplay between daylight, general and task lighting for visual comfort and electricity savings in a personal office space, , , , , , and , in: Proceedings of ISES and IEA SHC International Conference on Solar Energy for Buildings and Industry, Kassel, Germany, 2022 |
| Integrating daylight with general and task lighting: A longitudinal in-the-wild study in individual and open space working areas, , , , , , and , in: Solar Energy Advances, 2, 2022 |
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| Saving energy by maximising daylight and minimising the impact on occupants: an automatic lighting system approach, , , , , , , and , in: Energy and Buildings, 2022 |
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2021
| A machine-learning model for the prediction of aggregated building heating demand from pan-European land-use maps, , and , in: Journal of Physics: Conference Series, 2021 |
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| Evaluation of Urban Scale Building Energy-Use Models and Tools – Application for the City of Fribourg, Switzerland, , , and , in: Sustainability, 13(7), 2021 |
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| Implementation of machine learning techniques for the quasi real-time blind and electric lighting optimization in a controlled experimental facility, , , , , and , in: Journal of Physics: Conference Series, IOP Publishing, 2021 |
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2019
| Building energy models with Morphological urban-scale parameters: a case study in Turin, , , , , and , in: Proceedings of 4th Building Simulation Applications Conference - BSA 2019, 2019 |
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| Understanding the performance gap: a machine learning approach on residential buildings in Turin, Italy, , , and , in: Journal of Physics: Conference Series, IOP Publishing Ltd, 2019 |
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