Publications

Selected publications. For a full list, please see my Google Scholar profile.

2026

  • Roberto Boghetti and Jérôme H Kämpf.

    Optimizing supply temperature control in district heating networks via differentiable dynamic simulation and gradient descent.

    Construction, Energy, Environment and Sustainability. ICCEES 2025. Lecture Notes in Civil Engineering, vol 744 (2026).

    [PDF] [DOI]

2025

  • Giulia Lamberti, Roberto Boghetti, Fabio Fantozzi, Francesco Leccese, and Giacomo Salvadori.

    Analysing the potential of open hotel review databases for IEQ assessment: A text mining approach.

    Building Research & Information, 53(1-2), 261-279 (2025).

    [DOI]

  • Dubon Rodrigue, Roberto Boghetti, Jérôme H Kämpf, Bastien Pasdeloup, Mohamed T Mabrouk, Patrick Meyer, and Bruno Lacarrière.

    Validation of two distinct simulation models of district heating networks: application to efficient looping analysis.

    Journal of Physics: Conference Series; 3140 (2025).

    [DOI]

2024

  • Roberto Boghetti and Jérôme H Kämpf.

    Verification of an open-source Python library for the simulation of district heating networks with complex topologies.

    Energy, 290, 130169 (2024).

    [DOI] [CODE]

2023

  • Roberto Boghetti and Jérôme H Kämpf.

    A benchmark for the simulation of meshed district heating networks based on anonymised monitoring data.

    Journal of Physics: Conference Series, 2600(2), 022008 (2023).

    [DOI]

  • Giulia Lamberti, Roberto Boghetti, Jérôme H Kämpf, Fabio Fantozzi, Francesco Leccese, and Giacomo Salvadori.

    Development and comparison of adaptive data-driven models for thermal comfort assessment and control.

    Total Environment Research Themes, 8, 100083 (2023).

    [DOI]

  • Michael Papinutto, Moreno Colombo, Roberto Boghetti, Chantal Basurto, Kornelius Reutter, Denis Lalanne, Jérôme H Kämpf, and Julien Nembrini.

    Enhancing user acceptance in automated systems with human-centric lighting: the role of visual comfort, personality, and preference.

    Journal of Physics: Conference Series, 2600(11), 112004 (2023).

    [DOI]

  • Roberto Boghetti, Giuseppe Peronato, and Jérôme Kämpf.

    Verification of PyDHN - a Python library for the thermo-hydraulic simulation of district heating networks - through the DESTEST.

    Proceedings of Building Simulation 2023: 18th Conference of IBPSA, 18 (2023).

    [DOI] [CODE]

2022

  • Chantal Basurto, Michael Papinutto, Moreno Colombo, Roberto Boghetti, Kornelius Reutter, Julien Nembrini, and Jérôme H Kämpf.

    Integrating daylight with general and task lighting: A longitudinal in-the-wild study in individual and open space working areas.

    Solar Energy Advances, 2, 100027 (2022).

    [DOI]

  • Michael Papinutto, Roberto Boghetti, Moreno Colombo, Chantal Basurto, Kornelius Reutter, Denis Lalanne, Jérôme H Kämpf, and Julien Nembrini.

    Saving energy by maximising daylight and minimising the impact on occupants: An automatic lighting system approach.

    Energy and Buildings, 268, 112176 (2022).

    [DOI]

2021

  • Giuseppe Peronato, Roberto Boghetti, and Jérôme H Kämpf.

    A machine-learning model for the prediction of aggregated building heating demand from pan-European land-use maps.

    Journal of Physics: Conference Series, 2042(1), 012019 (2021).

    [DOI]

  • Valeria Todeschi, Roberto Boghetti, Jérôme H Kämpf, and Guglielmina Mutani.

    Evaluation of urban-scale building energy-use models and tools—application for the city of Fribourg, Switzerland.

    Sustainability, 13(4), 1595 (2021).

    [DOI]

  • Chantal Basurto, Roberto Boghetti, Moreno Colombo, Michael Papinutto, Julien Nembrini, and Jérôme H Kämpf.

    Implementation of machine learning techniques for the quasi real-time blind and electric lighting optimization in a controlled experimental facility.

    Journal of Physics: Conference Series, 2042(1), 012112 (2021).

    [DOI]

2020

  • Roberto Boghetti, Fabio Fantozzi, Jérôme H Kämpf, Guglielmina Mutani, Giacomo Salvadori, and Valeria Todeschi.

    Building energy models with Morphological urban-scale parameters: A case study in Turin.

    Building Simulation Applications BSA 2020, 131-139 (2020).

    [URL]

2019

  • Roberto Boghetti, Fabio Fantozzi, Jérôme H Kämpf, and Giacomo Salvadori.

    Understanding the performance gap: A machine learning approach on residential buildings in Turin, Italy.

    Journal of Physics: Conference Series, 1343(1), 012042 (2019).

    [DOI]