The prevalence of energy poverty as a major challenge in numerous countries, the escalating energy crisis that … energy poverty schemes, enabling the accurate prediction of energy vulnerable households via objective, publicly available … algorithms, most of our analysis is performed using a Random Forest classifier. Our approach to explore energy poverty beyond …

An essential element of the work of the Fund is to monitor and forecast international trade. This paper uses SWIFT … (PMI), to improve the short-term forecast of international trade. A horse race between linear regressions and machine …

techniques such as Support Vector Regression (SVR) and Random Forest Regression (RFR) to forecast and predict worldwide …