Keywords:
- Adaptive thermal comfort
- ASHRAE database
- Automatic control
- benchmarks
- data-driven
- Data-driven model
- daylighting
- daylighting and electric lighting
- destest
- District energy systems
- district heating
- district heating networks
- dynamic simulations
- electric lighting
- energy
- energy balance
- energy simulation
- engineering model
- gradient boosting
- Heat grids
- Integrated Lighting Controls
- machine learning
- Model Predictive Control (MPC)Blinds and electric lighting automated controlsDaylight and electric lighting predictive modelsControlled user experiment
- multi-scale
- Open-source software
- PMV
- pydhn
- residential buildings
- sensitivity analysis
- Simulation tools
- space heating
- surrogate models
- sustainable urban planning
- Thermal comfort
- urban context
- urban energy modeling
- user experiment
- Visual comfort
Publications of Roberto Boghetti sorted by journal and type
Energy
Verification of an open-source Python library for the simulation of district heating networks with complex topologies, and , in: Energy, 2023 |
[DOI] [URL] |
Energy and Buildings
Saving energy by maximising daylight and minimising the impact on occupants: an automatic lighting system approach, , , , , , , and , in: Energy and Buildings, 2022 |
[DOI] |
Solar Energy Advances
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 |
[DOI] [URL] |
Sustainability
Evaluation of Urban Scale Building Energy-Use Models and Tools – Application for the City of Fribourg, Switzerland, , , and , in: Sustainability, 13(7), 2021 |
[DOI] [URL] |
Total Environment Research Themes
Development and comparison of adaptive data-driven models for thermal comfort assessment and control, , , , , and , in: Total Environment Research Themes, 8, 2023 |
[DOI] [URL] |
Journal of Physics: Conference Series (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 |
[DOI] [URL] |
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 |
[DOI] [URL] |
Proceedings of Building Simulation 2023: 18th Conference of IBPSA (2023)
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 |
[DOI] [URL] |
Proceedings of ISES and IEA SHC International Conference on Solar Energy for Buildings and Industry (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 |
Journal of Physics: Conference Series (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 |
[DOI] |
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 |
[DOI] [URL] |
Proceedings of 4th Building Simulation Applications Conference - BSA 2019 (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 |
[URL] |
Journal of Physics: Conference Series (2019)
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 |
[DOI] |