Publications by Roberto Castello

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

Roberto Castello, Fabian Heymann, Guillaume Romain Obozinski

The gas crisis of 2022 put pressure on electricity prices in Europe, prompting the Swiss government to launch a national energy-saving campaign. To effectively quantify potential savings and guide timely decision-making, this campaign called for rigorous n ...

2025

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

Roberto Castello, Federico Amato

Tepotinib is approved for the treatment of patients with non-small-cell lung cancer harboring MET exon 14 skipping alterations. While edema is the most prevalent adverse event (AE) and a known class effect of MET inhibitors including tepotinib, there is st ...

2024

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

Roberto Castello, Gilles Desthieux

In the context of a rapid and massive deployment or renewable energy and in particular solar photovoltaic, it is necessary to develop methods and tools to guide this deployment. To this end, this work proposes a multicriteria approach for evaluating the su ...

ELSEVIER SCI LTD2022

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

Roberto Castello, Jean-Louis Scartezzini, Kavan Javanroodi

Several contrasting effects are reported in the existing literature concerning the impact assessment of the COVID19 outbreak on the use of energy in buildings. Following an in-depth literature review, we here propose a GISbased approach, based on pre-pande ...

ELSEVIER2022

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

Roberto Castello, Jean-Louis Scartezzini, Alina Ursula Rosa Walch, Shasha Jiang, Riccardo Cadei

The integration of solar technology in the built environment is realized mainly through rooftop-installed panels. In this paper, we leverage state-of-the-art Machine Learning and computer vision techniques applied on overhead images to provide a geo-locali ...

IOP PUBLISHING LTD2021

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

Roberto Castello, Jean-Louis Scartezzini, Alina Ursula Rosa Walch

The spatio-temporal patterns of the existing rooftop photovoltaic (PV) production can provide valuable insights for the design of effective strategies for PV integration at large scale. In this work, we quantify the hourly production of existing rooftop PV ...

IOP PUBLISHING LTD2021

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

Roberto Castello, Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni, Alina Ursula Rosa Walch

The increasing use of ground-source heat pumps (GSHPs) for heating and cooling of buildings raises questions regarding the technical potential of GSHPs and their impact on the temperature in the shallow subsurface. In this paper, we develop a method using ...

IOP PUBLISHING LTD2021

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

Roberto Castello, Jean-Louis Scartezzini, Lorenzo Salmina

A timely identification of an anomalous functioning of the energy system of an industrial building would increase the efficiency and the resilience of the energy infrastructure, beside reducing the economic wastage. This work has been inspired by the need ...

IOP PUBLISHING LTD2021

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

Roberto Castello, Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni, Alina Ursula Rosa Walch

The large-scale deployment of photovoltaics (PV) on building rooftops can play a significant role in the transition to a low-carbon energy system. To date, the lack of high-resolution building and environmental data and the large uncertainties related to e ...

2020

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

Roberto Castello, Jean-Louis Scartezzini, Dasaraden Mauree, Xu Ge

Currently, more than half of the world’s population lives in cities, which leads to major changes in land use and land surface temperature (LST). The associated urban heat island (UHI) effects have multiple impacts on energy consumption and human health. A ...

2020