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Dan Assouline
Dan Assouline
Swiss Data Science Center
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Quantifying rooftop photovoltaic solar energy potential: A machine learning approach
D Assouline, N Mohajeri, JL Scartezzini
Solar Energy 141, 278-296, 2017
2522017
Effects of urban compactness on solar energy potential
N Mohajeri, G Upadhyay, A Gudmundsson, D Assouline, J Kämpf, ...
Renewable Energy 93, 469-482, 2016
2292016
Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests
D Assouline, N Mohajeri, JL Scartezzini
Applied energy 217, 189-211, 2018
1592018
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
1132018
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
852019
A machine learning approach for mapping the very shallow theoretical geothermal potential
D Assouline, N Mohajeri, A Gudmundsson, JL Scartezzini
Geothermal Energy 7 (1), 19, 2019
482019
MAgNet: Mesh Agnostic Neural PDE Solver
O Boussif, D Assouline, L Benabbou, Y Bengio
Advances in Neural Information Processing Systems, 2022, 2022
292022
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
202022
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
182018
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
172017
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
172015
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
92017
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
72015
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
62023
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
62022
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
62016
Improving* day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
O Boussif, G Boukachab, D Assouline, S Massaroli, T Yuan, L Benabbou, ...
Advances in Neural Information Processing Systems 36, 2024
52024
Machine Learning and Geographic Information Systems for large-scale mapping of renewable energy potential
D Assouline
EPFL, 2019
52019
What if We Enrich day-ahead Solar Irradiance Time Series Forecasting with Spatio-Temporal Context?
O Boussif, G Boukachab, D Assouline, S Massaroli, T Yuan, L Benabbou, ...
1st Workshop on the Synergy of Scientific and Machine Learning Modeling …, 2023
42023
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Articles 1–20