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Administrative data

Dan Assouline

dan.assouline@epfl.ch +41 21 693 56 77

Nationality: French

Expertise

- Geographic Information Systems, Applied Machine Learning, Renewable energy potential mapping

Education

Phd

| Energy / Machine Learning

2014 – 2019 EPFL

MSc

| Civil and Envrionmental Engineering

2012 – 2013 UC Berkeley

MSc

| Civil Engineering

2010 – 2013 Ecole Sp�ciale des Travaux Publics (ESTP)

BSc

| Applied Mathematics

2008 – 2010 Lyc�e Saint Louis (Classes Pr�paratoires aux Grandes Ecoles)

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  et al.

Sustainable Cities And Society. 2023. DOI : 10.1016/j.scs.2023.104451.

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A machine learning-assisted building electricity consumption profiling for anomaly detection

D. Assouline; R. Castello; D. Mauree; N. Zwahlen; M. Guido  et al.

2020. International Conference on Applied Energy (ICAE 2020), Virtual Conference, December 1-10, 2020.

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A machine learning approach for mapping the very shallow theoretical geothermal potential

D. Assouline; N. Mohajeri; A. Gudmundsson; J.-L. Scartezzini

Geothermal Energy. 2019. DOI : 10.1186/s40517-019-0135-6.

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Machine learning and geographic information systems for large-scale wind energy potential estimation in rural areas

D. Assouline; N. Mohajeri; D. Mauree; J.-L. Scartezzini

2019. CISBAT 2019 | Climate Resilient Cities – Energy Efficiency & Renewables in the Digital Era, Lausanne, Switzerland, September 4-6, 2019. DOI : 10.1088/1742-6596/1343/1/012036.

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A solar-based sustainable urban design: The effects of city-scale street-canyon geometry on solar access in Geneva, Switzerland

N. Mohajeri; A. Gudmundsson; G. Knuckler; D. Assouline; J. Kämpf  et al.

Applied Energy. 2019. DOI : 10.1016/j.apenergy.2019.02.014.

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Machine Learning and Geographic Information Systems for large-scale mapping of renewable energy potential

D. Assouline

Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9376.

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Estimation of Large-Scale Solar Rooftop PV Potential for Smart Grid Integration: A Methodological Review

D. Assouline; N. Moharjeri; J.-L. Scartezzini

Sustainable Interdependent Networks; Springer International Publishing, 2018.

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Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests

D. Assouline; N. Mohajeri; J. Scartezzini

Applied Energy. 2018. DOI : 10.1016/j.apenergy.2018.02.118.

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A city-scale roof shape classification using machine learning for solar energy applications

N. Mohajeri; D. Assouline; B. Guiboud; A. Bill; A. Gudmundsson  et al.

Renewable Energy. 2018. DOI : 10.1016/j.renene.2017.12.096.

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Combining Fourier Analysis And Machine Learning To Estimate The Shallow-Ground Thermal Diffusivity In Switzerland

D. Assouline; N. Mohajeri; A. Gudmundsson; J.-L. Scartezzini

2018. 38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, SPAIN, Jul 22-27, 2018. p. 1144 - 1147. DOI : 10.1109/IGARSS.2018.8517938.

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Effects of city size on the large-scale decentralised solar energy potential

N. Mohajeri; D. Assouline; A. Gudmundsson; J.-L. Scartezzini

2017. CISBAT 2017 International Conference, Lausanne, Switzerland, 6-8 September 2017. p. 697 - 702. DOI : 10.1016/j.egypro.2017.07.372.

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Quantifying rooftop photovoltaic solar energy potential: A machine learning approach

D. Assouline; N. Mohajeri; J.-L. Scartezzini

Solar Energy. 2017. DOI : 10.1016/j.solener.2016.11.045.

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Effects of urban compactness on solar energy potential

N. Mohajeri; G. Upadhyay; A. Gudmundsson; D. Assouline; J. Kämpf  et al.

Renewable Energy. 2016. DOI : 10.1016/j.renene.2016.02.053.

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Does roof shape matter? Solar photovoltaic (PV) integration on building roofs

N. Mohajeri; D. Assouline; B. Guiboud; J.-L. Scartezzini

2016. Zurich, June 15-17 2016; Sustainable Built Environment (SBE) regional conference, Zurich, Switzerland, June 15-17, 2016. DOI : 10.3218/3774-6_21.

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How street canyon configuration control the accessibility of solar energy potential: Implication for urban design

N. Mohajeri; A. Gudmundsson; T. Kunckler; G. Upadhyay; D. Assouline  et al.

2016. PLEA - 36th International Conference on Passive and Low Energy Architecture. Cities, Buildings, People: Towards Regenerative Environments, Los Angeles, July 11-13, 2016.

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A machine learning methodology for estimating roof-top photovoltaic solar energy potential in Switzerland

D. Assouline; N. Mohajeri; J.-L. Scartezzini

2015. CISBAT 2015, EPFL, Lausanne, September 9-11th, 2015. p. 555 - 560. DOI : 10.5075/epfl-cisbat2015-555-560.

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Neighbourhood morphology and solar irradiance in relation to urban climate

N. Mohajeri; A. Gudmundsson; G. Upadhyay; D. Assouline; J.-L. Scartezzini

2015. 9th International Conference on Urban Climate jointly with 12th Symposium on the Urban Environment, Toulouse France, 20- 24 July 2015.

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