Keywords:
- Artificial intelligence
- Automated Venetian blinds
- Automatic control
- Bayesian calibration
- benchmarks
- BIPV
- building archetypes
- building energy retrofitting
- Building simulation
- Building solar energy potential
- building stocks
- CitySim
- data-driven
- daylighting
- daylighting and electric lighting
- daylighting and electric lighting controls
- Daylighting control
- Decentralized system
- deep learning
- destest
- district heating
- district heating networks
- dynamic simulations
- electric lighting
- Electrochromic window
- Embedded photometric device
- Embedded photometric system
- energy
- energy balance
- energy modelling
- Energy planning
- energy simulation
- energy-hub
- engineering model
- FPGA
- global sensitivity analysis
- gradient boosting
- HDR imaging
- HVAC control
- Integrated Lighting Controls
- Level of Detail
- load match
- machine learning
- Model Predictive Control (MPC)Blinds and electric lighting automated controlsDaylight and electric lighting predictive modelsControlled user experiment
- multi-objective optimization
- multi-scale
- parameter screening
- pydhn
- Q-learning
- RADIANCE
- Real-time lighting simulation
- reinforcement learning
- residential buildings
- sensitivity analysis
- Smart cities
- Smart grid
- Sobol’ indices
- Sobol’ method
- solar energy in cities
- space heating
- surrogate models
- sustainable urban planning
- Temporal and spatial resolution
- urban context
- urban energy modeling
- urban morphology
- urban scale energy modeling
- urban simulation
- user experiment
- Visual comfort
- visual impact
Publications of Jérôme Kämpf
2023
| A benchmark for the simulation of meshed district heating networks based on anonymised monitoring data, and , in: CISBAT 2023 International scientific conference on the Built Environment in Transition, 2023 |
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| How spatio-temporal resolution impacts urban energy calibration, , , , , and , in: Energy and Buildings, 292(113175), 2023 |
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| How spatio-temporal resolution impacts urban energy calibration, , , , , and , in: Energy and Buildings, 2023 |
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| Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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| Verification of PyDHN - a Python library for the thermo-hydraulic simulation of district heating networks - through the DESTEST, , and , in: Building Simulation 2023, 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 |
| DHgeN: Automated Generation of District Heating Network Layouts for Feasibility Studies, and , in: -, 2022 |
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| Identification of existing tools and workflows for solar neighborhood planning, , , , , , , , , , , , , , , , , , , , , , , , , , , , and , in: SHC Task 63: Solar Neighborhood Planning, Subtask C: Solar Planning Tools, IEA, 2022 |
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| 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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| Ranking parameters in urban energy models for various building forms and climates using sensitivity analysis, , , and , in: Building Simulation, 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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| Towards energy hubs: an innovative Geographic Information System based approach for cluster definition, , , and , in: ICREC 2022 Conference Proceedings, 2022 |
2021
| A Comparative Study Of Simulation Tools To Model The Solar Irradiation On Building Façades, , , , , , , , , , , , , , , and , in: Proceedings of SWC 2021: ISES Solar World Congress, ISES, 2021 |
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| 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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| Application of Urban Scale Energy Modelling and Multi-Objective Optimization Techniques for Building Energy Renovation at District Scale, , , and , in: Sustainability, 13(20), 2021 |
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| Designing and assessing solar energy neighborhoods from visual impact, , , , , and , in: Sustainable Cities and Society, 2021 |
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| District heating network modelling for future integration of solar thermal energy, , , and , in: Journal of Physics: Conference Series, pages 012089, IOP Publishing, 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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| Machine learning techniques for the daylight and electric lighting performance predictions, , and , in: Proceedings of Building Simulation 2021, 2021 |
2020
| An Integrated and strategic evaluation of automatic blind controls to achieve energy and occupant's comfort objectives, and , in: Proceedings of the 5th IBPSA-England Conference on Building Simulation and Optimization (Virtual), Loughborough, UK, 2020 |
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| Parametric study of URBAN morphology on building solar energy potential in Singapore context, , , , and , in: Urban Climate, 33(100624), 2020 |
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2019
| A morphological based PV generation and energy consumption predictive model for Singapore neighbourhood, and , in: Journal of Physics: Conference Series, IOP Publishing Ltd, 2019 |
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| A smart luminaire in an office environment: impact on light distribution, user interactions and comfort, , , and , in: Journal of Physics: Conference Series, IOP Publishing Ltd, 2019 |
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| A solar-based sustainable urban design: The effects of city-scale street-canyon geometry on solar access in Geneva, Switzerland, , , , , and , in: Applied Energy, 240:173-190, 2019 |
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| Automated Daylighting Control System based on Sky Luminance Monitoring and Lighting Computing, , and , EPFL, 2019 |
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| Automated Eye-sight Venetian blinds based on an embedded photometric device with real-time daylighting computing, , and , in: Applied Energy, 252, 2019 |
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| 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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| 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 |
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| CO2 experimental measurements towards the development of a predictive framework using user actions in smart buildings, , , , and , in: Journal of Physics: Conference Series, IOP Publishing Ltd, 2019 |
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| Daylight regulated by automated external Venetian blinds based on HDR sky luminance mapping in winter, , and , in: Journal of Physics: Conference Series, IOP Publishing Ltd, 2019 |
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| Daylighting simulation for external Venetian blinds based on HDR sky luminance monitoring with matrix algebraic approach, , and , in: Energy Procedia, 158:2677-2682, 2019 |
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| Multi-agent reinforcement learning for adaptive demand response in smart cities, , , , and , in: Journal of Physics: Conference Series, IOP Publishing Ltd, 2019 |
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| Performance assessment of the BTDF data compression based on wavelet transforms in daylighting simulation, , and , in: Solar Energy, 2019 |
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| Retrofitting, district heating and energy storage: neighborhood energy planning, , , , and , in: Journal of Physics: Conference Series, IOP Publishing Ltd, 2019 |
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| Split-pane electrochromic window control based on an embedded photometric device with real-time daylighting computing, , , , and , in: Building and Environment, 2019 |
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| The Simulation of Mean Radiant Temperature in Outdoor Conditions: A Review of Architectural Tools Calculation Assumptions, , , and , in: Proceedings of Building Simulation 2019: 16th Conference of IBPSA, 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 |
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2018
| Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities, , , and , in: Sustainable Cities and Society, 2018 |
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