| Quantifying rooftop photovoltaic solar energy potential: A machine learning approach D Assouline, N Mohajeri, JL Scartezzini Solar Energy 141, 278-296, 2017 | 208 | 2017 |
| Effects of urban compactness on solar energy potential N Mohajeri, G Upadhyay, A Gudmundsson, D Assouline, J Kämpf, ... Renewable Energy 93, 469-482, 2016 | 196 | 2016 |
| Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests D Assouline, N Mohajeri, JL Scartezzini Applied energy 217, 189-211, 2018 | 129 | 2018 |
| A city-scale roof shape classification using machine learning for solar energy applications N Mohajeri, D Assouline, B Guiboud, A Bill, A Gudmundsson, ... Renewable Energy 121, 81-93, 2018 | 86 | 2018 |
| A solar-based sustainable urban design: The effects of city-scale street-canyon geometry on solar access in Geneva, Switzerland N Mohajeri, A Gudmundsson, T Kunckler, G Upadhyay, D Assouline, ... Applied Energy 240, 173-190, 2019 | 68 | 2019 |
| A machine learning approach for mapping the very shallow theoretical geothermal potential D Assouline, N Mohajeri, A Gudmundsson, JL Scartezzini Geothermal Energy 7 (1), 1-50, 2019 | 32 | 2019 |
| A machine learning methodology for estimating roof-top photovoltaic solar energy potential in Switzerland D Assouline, N Mohajeri, JL Scartezzini Proceedings of International Conference CISBAT 2015 Future Buildings and …, 2015 | 16 | 2015 |
| Estimation of large-scale solar rooftop PV potential for smart grid integration: A methodological review D Assouline, N Mohajeri, JL Scartezzini Sustainable interdependent networks: From theory to application, 173-219, 2018 | 15 | 2018 |
| Building rooftop classification using random forests for large-scale PV deployment D Assouline, N Mohajeri, JL Scartezzini Earth resources and environmental remote Sensing/GIS Applications VIII 10428 …, 2017 | 15 | 2017 |
| Development and validation of a knowledge-based score to predict Fried's frailty phenotype across multiple settings using one-year hospital discharge data: The electronic … MA Le Pogam, L Seematter-Bagnoud, T Niemi, D Assouline, N Gross, ... EClinicalMedicine 44, 2022 | 9 | 2022 |
| MAgNet: Mesh Agnostic Neural PDE Solver O Boussif, D Assouline, L Benabbou, Y Bengio Advances in Neural Information Processing Systems, 2022, 2022 | 8 | 2022 |
| Effects of city size on the large-scale decentralised solar energy potential N Mohajeri, D Assouline, A Gudmundsson, JL Scartezzini Energy Procedia 122, 697-702, 2017 | 8 | 2017 |
| How street-canyon configurations affect the potential of solar energy N Mohajeri, A Gudmundsson, T Kunckler, G Upadhyay, D Assouline, ... PLEA 2016 Los Angeles-36th International Conference on Passive and Low …, 2016 | 8* | 2016 |
| Neighbourhood morphology and solar irradiance in relation to urban climate N Mohajeri, A Gudmundsson, G Upadhyay, D Assouline, JL Scartezzini 9th International Conference on Urban Climate Jointly with 12th Symposium on …, 2015 | 8 | 2015 |
| Exploring patient multimorbidity and complexity using health insurance claims data: a cluster analysis approach A Nicolet, D Assouline, MA Le Pogam, C Perraudin, C Bagnoud, ... JMIR Medical Informatics 10 (4), e34274, 2022 | 6 | 2022 |
| Does roof shape matter? Solar photovoltaic (PV) integration on building roofs N Mohajeri, D Assouline, B Guiboud, JL Scartezzini Expanding Boundaries-Proceedings of the International Conference on …, 2016 | 6 | 2016 |
| Machine learning and geographic information systems for large-scale wind energy potential estimation in rural areas D Assouline, N Mohajeri, D Mauree, JL Scartezzini Journal of Physics: Conference Series 1343 (1), 012036, 2019 | 4 | 2019 |
| A machine learning methodology to quantify the potential of urban densification in the Oxford-Cambridge Arc, United Kingdom N Mohajeri, A Walch, A Smith, A Gudmundsson, D Assouline, T Russell, ... Sustainable Cities and Society 92, 104451, 2023 | 3 | 2023 |
| Machine Learning and Geographic Information Systems for large-scale mapping of renewable energy potential D Assouline EPFL, 2019 | 3 | 2019 |
| A machine learning-assisted building electricity consumption profiling for anomaly detection D Assouline, R Castello, D Mauree, N Zwahlen, M Guido, D Hamm, ... International Conference on Applied Energy (ICAE 2020), 2020 | 2 | 2020 |
Nahid MohajeriLecturer/Assistant Professor at University College London, UKAdresse e-mail validée de conted.ox.ac.uk
