| Urban building energy modeling (UBEM) tools: A state-of-the-art review of bottom-up physics-based approaches M Ferrando, F Causone, T Hong, Y Chen Sustainable Cities and Society 62, 102408, 2020 | 123 | 2020 |
| Modeling occupant behavior in buildings S Carlucci, M De Simone, SK Firth, MB Kjærgaard, R Markovic, ... Building and Environment 174, 106768, 2020 | 120 | 2020 |
| A data-driven procedure to model occupancy and occupant-related electric load profiles in residential buildings for energy simulation F Causone, S Carlucci, M Ferrando, A Marchenko, S Erba Energy and Buildings 202, 109342, 2019 | 62 | 2019 |
| Italian prototype building models for urban scale building performance simulation L Carnieletto, M Ferrando, L Teso, K Sun, W Zhang, F Causone, ... Building and Environment 192, 107590, 2021 | 50 | 2021 |
| Modeling and analysis of heat emissions from buildings to ambient air T Hong, M Ferrando, X Luo, F Causone Applied Energy 277, 115566, 2020 | 28 | 2020 |
| Data acquisition for urban building energy modeling: A review C Wang, M Ferrando, F Causone, X Jin, X Zhou, X Shi Building and Environment, 109056, 2022 | 21 | 2022 |
| An overview of urban building energy modelling (UBEM) tools M Ferrando, F Causone | 21 | 2019 |
| On the impact of stochastic modeling of occupant behavior on the energy use of office buildings S Carlucci, F Causone, S Biandrate, M Ferrando, A Moazami, S Erba Energy and Buildings 246, 111049, 2021 | 17 | 2021 |
| A simulation-based assessment of technologies to reduce heat emissions from buildings M Ferrando, T Hong, F Causone Building and Environment 195, 107772, 2021 | 13 | 2021 |
| UBEM's archetypes improvement via data-driven occupant-related schedules randomly distributed and their impact assessment M Ferrando, S Ferroni, M Pelle, A Tatti, S Erba, X Shi, F Causone Sustainable Cities and Society 87, 104164, 2022 | 5 | 2022 |
| Pattern Recognition and Classification for Electrical Energy Use in Residential Buildings M Ferrando, A Marchenko, S Erba, F Causone, S Carlucci | 3 | 2019 |
| An innovative method to predict the thermal parameters of construction assemblies for urban building energy models C Wang, M Ferrando, F Causone, X Jin, X Zhou, X Shi Building and Environment 224, 109541, 2022 | 2 | 2022 |
| An experimental technique based on globe thermometers for the measurement of mean radiant temperature in urban settings A Banfi, A Tatti, M Ferrando, D Fustinoni, F Zanghirella, F Causone Building and Environment 222, 109373, 2022 | 1 | 2022 |
| Corrigendum to “An innovative method to predict the thermal parameters of construction assemblies for urban building energy models”[Build. Environ. 224 (2022) 109541] C Wang, M Ferrando, F Causone, X Jin, X Zhou, X Shi Building and Environment 237, 110363, 2023 | | 2023 |
| The Emerging Trends of Renewable Energy Communities’ Development in Italy A Tatti, S Ferroni, M Ferrando, M Motta, F Causone Sustainability 15 (8), 6792, 2023 | | 2023 |
| Augmenting energy time-series for data-efficient imputation of missing values A Liguori, R Markovic, M Ferrando, J Frisch, F Causone, C van Treeck Applied Energy 334, 120701, 2023 | | 2023 |
| Setting and tuning of building stock archetypes for Urban Building Energy Modelling (UBEM) M Ferrando | | 2022 |
| Comparison of different clustering approaches on different databases of smart meter data M Ferrando, D Nozza, T Hong, F Causone Proceedings of Building Simulation 2021: 17th Conference of IBPSA 17, 1155-1162, 2021 | | 2021 |
| Life cycle assessment approaches applied to energy modelling of urban building stocks: a literature review M Ferrando, M Lavagna, F Causone Atti del XIII Convegno della Rete Italiana LCA Il Life Cycle Thinking a …, 2019 | | 2019 |
| A data-driven approach to determine input schedules for energy simulation of residential buildings M FERRANDO Politecnico di Milano, 2018 | | 2018 |
