3 papers
cs.CY2024
A Highly Granular Temporary Migration Dataset Derived From Mobile Phone Data in Senegal
Paul Blanchard, Stefania Rubrichi
Understanding temporary migration is crucial for addressing various socio-economic and environmental challenges in developing countries. However, traditional surveys often fail to…
cs.CY2024
Early Detection of Critical Urban Events using Mobile Phone Network Data
Pierre Lemaire, Angelo Furno, Stefania Rubrichi +5
Network Signalling Data (NSD) have the potential to provide continuous spatio-temporal information about the presence, mobility, and usage patterns of cell phone services by indivi…
stat.AP2023
Human spatial dynamics for electricity demand forecasting: the case of France during the 2022 energy crisis
Nathan Doumèche, Yann Allioux, Yannig Goude +1
Accurate electricity demand forecasting is crucial to meet energy security and efficiency, especially when relying on intermittent renewable energy sources. Recently, massive savin…