Fondazione Eni Enrico Mattei

On track but too slow? The dynamics of EU decarbonization

Despite the strong commitment of European countries to achieve net-zero emissions by 2050, the extent to which key policies and drivers jointly shape emissions dynamics remains insufficiently investigated. The study suggests that the interaction among circular economy, energy tra...

A new framework for non-stationary spatio-temporal data fusion of multi-fidelity models

We propose a new scalable framework for spatio-temporal data fusion with multi-fidelity Gaussian processes (MFGPs) that enables fully likelihood-based inference for both stationary and non-stationary fidelity integration. The framework is designed for environmental applications,...

Forecast reconciliation of agricultural GHG emissions in Europe with fuzzy clustering

Abstract We propose a novel statistical procedure which combines forecasting reconciliation techniques and unsupervised clustering algorithms to forecast annual greenhouse gases emissions at the territorial level. Specifically, we aim at predicting future emissions from the agric...