Publications associées à Using dimensionality reduction and causal inference to constrain precipitation and climate

Publications associées (10)

Multilevel emission impacts of electrification and coal pathways in China's net-zero transition

Decarbonizing China's energy system requires both greening the power supply and electrifying end-use sectors. However, concerns exist that electrification may increase emissions while coal power dominates. Using a global climate model, we explore electrifi ...

2025

From Prediction to Prescription: Machine Learning and Causal Inference for the Heterogeneous Treatment Effect

Elise Hélène Dumas

The increasing accumulation of medical data brings the hope of data-driven medical decision-making, but data's increasing complexity—as text or images in electronic health records—calls for complex models, such as machine learning. Here, we review how mach ...

Annual Reviews2025

Modeling the Effect of Trees on Energy Demand for Indoor Cooling and Dehumidification Across Cities and Climates

Gabriele Manoli

Increasing urban tree cover is a common strategy to lower urban temperatures and indirectly the building energy demand for air-conditioning (AC). However, urban vegetation leads to increasing humidity with potential negative effects on the AC dehumidificat ...

AMER GEOPHYSICAL UNION2025

Nonparametric network summaries

Arthur Verdeyme

This thesis is concerned with improving the interpretability of network summaries in both a theoretical and an applied framework, with an application to clinically relevant problems in neuroscience. The theoretical part of this thesis is concerned with gra ...

EPFL2025

Separable effects for adherence

Mats Julius Stensrud

Comparing different medications is complicated when adherence to these medications differs. We can overcome the adherence issue by assessing effectiveness under sustained use, as in usual causal "per-protocol" estimands. However, when sustained use is chal ...

OXFORD UNIV PRESS INC2025

Achieving dispatchability in data centers: carbon and cost-aware sizing of energy storage and local photovoltaic generation

Enea Figini, Mario Paolone

Data centers are large electricity consumers due to the high consumption needs of servers and their cooling systems. With the rapid growth of crypto-currency and artificial intelligence, their electricity consumption is expected to increase substantially. ...

Elsevier BV2025

Influence of cellular mechano-calcium feedback in numerical models of cardiac electromechanics

Alfio Quarteroni

Multiphysics and multiscale mathematical models enable the non-invasive study of cardiac function. These models often rely on simplifying assumptions that neglect certain biophysical processes to balance fidelity and computational cost. In this work, we pr ...

2025

A multipurpose alpine lake -Modelling supplies and withdrawals in view of climate change

Giovanni De Cesare, Evanice Rüegg

LNEC2024

A holistic approach to refinery decarbonization based on atomic, energy and exergy flow analysis

Yi Zhao, François Maréchal

As one of the largest industrial emitters, today's refineries must take action to reduce emissions in response to global climate change and net -zero targets. However, the decarbonization of refineries is complex due to the diverse range of processes invol ...

Pergamon-Elsevier Science Ltd2024

Intraday solar irradiance forecasting using public cameras

Demetri Psaltis, Mario Paolone, Christophe Moser, Luisa Lambertini, Ilker Oguz, Roy Sarkis

With the significant increase in photovoltaic (PV) electricity generation, more attention has been given to PV power forecasting. Indeed, accurate forecasting allows power grid operators to better schedule and dispatch their assets, such as energy storage ...

Pergamon-Elsevier Science Ltd2024