Roberto Castello

roberto.castello@epfl.ch +41 21 693 87 94

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EPFL SDSC
INN 218 (Bâtiment INN)
Station 14
1015 Lausanne

+41 21 693 87 94
Office: INN 218
EPFL › VPA › VPA-AVP-CP › SDSC › SDSC-GE

Site web: https://www.datascience.ch

Publications

Real-time estimates of Swiss electricity savings using streamed smart meter data

A. Mari; C. Remlinger; R. Castello; M. Galus; G. Obozinski et al.

Applied Energy. 2025. DOI : 10.1016/j.apenergy.2024.124537.

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Explainable machine learning prediction of edema adverse events in patients treated with tepotinib

F. Amato; R. Strotmann; R. Castello; R. Bruns; V. Ghori et al.

Clinical and translational science. 2024. DOI : 10.1111/cts.70010.

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Impact of the COVID-19 pandemic on the energy performance of residential neighborhoods and their occupancy behavior

V. Todeschi; K. Javanroodi; N. Mohajeri; R. Castello; G. Mutani et al.

Sustainable Cities And Society. 2022. DOI : 10.1016/j.scs.2022.103896.

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Large-scale evaluation of the suitability of buildings for photovoltaic integration: Case study in Greater Geneva

M. Thebault; G. Desthieux; R. Castello; L. Berrah

Applied Energy. 2022. DOI : 10.1016/j.apenergy.2022.119127.

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Quantification of the suitable rooftop area for solar panel installation from overhead imagery using Convolutional Neural Networks

R. Castello; A. Walch; R. Attias; R. Cadei; S. Jiang et al.

2021. CISBAT 2021 - International Hybrid Conference on Carbon Neutral Cities - Energy Efficiency and Renewables in the Digital Era, Lausanne, SWITZERLAND, Sep 08-10, 2021. DOI : 10.1088/1742-6596/2042/1/012002.

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Using Machine Learning to estimate the technical potential of shallow ground-source heat pumps with thermal interference

A. Walch; R. Castello; N. Mohajeri; A. Gudmundsson; J.-L. Scartezzini

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Dimensionality reduction and clustering of time series for anomaly detection in a supermarket heating system

L. Salmina; R. Castello; J. Stoll; J.-L. Scartezzini

2021. CISBAT 2021 - International Hybrid Conference on Carbon Neutral Cities - Energy Efficiency and Renewables in the Digital Era, Lausanne, Switzerland, Sep 08-10, 2021. DOI : 10.1088/1742-6596/2042/1/012027.

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Quantification of existing rooftop PV hourly generation capacity and validation against measurement data

A. Walch; M. Ruedisueli; R. Castello; J.-L. Scartezzini

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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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Detecting solar rooftop photovoltaic panels in aerial images using neural networks: a transfer learning approach

S. Roquette

2020

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Big data mining for the estimation of hourly rooftop photovoltaic potential and its uncertainty

A. Walch; R. Castello; N. Mohajeri; J.-L. Scartezzini

Applied Energy. 2020. DOI : 10.1016/j.apenergy.2019.114404.

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A fast machine learning model for large-scale estimation of annual solar irradiation on rooftops

A. Walch; R. Castello; N. Mohajeri; J.-L. Scartezzini

2020. SHC 2019/SWC 2019. ISES Solar World Congress, Santiago, Chile, November 3-7, 2019. DOI : 10.18086/swc.2019.45.12.

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Spatio-Temporal Relationship between Land Cover and Land Surface Temperature in Urban Areas: A Case Study in Geneva and Paris

X. Ge; D. Mauree; R. Castello; J.-L. Scartezzini

ISPRS International Journal of Geo-Information. 2020. DOI : 10.3390/ijgi9100593.

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Deep learning in the built environment: automatic detection of rooftop solar panels using Convolutional Neural Networks

R. Castello; S. Roquette; M. Esguerra; A. Guerra; J.-L. Scartezzini

2019. CISBAT 2019 | Climate Resilient Cities – Energy Efficiency & Renewables in the Digital Era, Lausanne, Switzerland, 4–6 September 2019. DOI : 10.1088/1742-6596/1343/1/012034.

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Geospatial analysis and optimization of the incoming and stored CO2 emissions within the EPFL campus

G. Mori; S. Coccolo; R. Castello; J.-L. Scartezzini

2019. CISBAT 2019 | Climate Resilient Cities – Energy Efficiency & Renewables in the Digital Era, Lausanne, Switzerland, 4-6 September 2019. DOI : 10.1088/1742-6596/1343/1/012118.

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Wind profile prediction in an urban canyon: a machine learning approach

D. Mauree; R. Castello; G. Mancini; T. Nutta; T. Zhang et al.

2019. CISBAT 2019 | Climate Resilient Cities – Energy Efficiency & Renewables in the Digital Era, Lausanne, Switzerland, September 4-6, 2019. DOI : 10.1088/1742-6596/1343/1/012047.

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Topology classification with deep learning to improve real-time event selection at the LHC

T. Q. Nguyen; D. Weitekamp; D. Anderson; R. Castello; O. Cerri et al.

Computing and Software for Big Science. 2019. DOI : 10.1007/s41781-019-0028-1.

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Spatio-temporal modelling and uncertainty estimation of hourly global solar irradiance using Extreme Learning Machines

A. Walch; R. Castello; N. Mohajeri; F. Guignard; M. Kanevski et al.

2019. 10 th International Conference on Applied Energy ( ICAE2018), Hong Kong , China, August 22- 25, 2018. p. 6378 - 6383. DOI : 10.1016/j.egypro.2019.01.219.

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From a Vegetation Index to a Sustainable Development Goal Indicator: Forest Trend Monitoring Using Three Decades of Earth Observations across Switzerland

E. Honeck; R. Castello; B. Chatenoux; J.-P. Richard; A. Lehmann et al.

ISPRS International Journal of Geo-Information. 2018. DOI : 10.3390/ijgi7120455.

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