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 …

, which brings destabilizing price effects on the economy and causes serious environmental problems like climate change. India … economic feasibility of sugarcane bioethanol in India while considering food security as a competing policy priority. The … analyses show that 20% blending of bioethanol cannot be achieved without affecting food production in India at the current …

We investigate the accuracy of ex ante assessments of vulnerability to income poverty using cross-sectional data and … vulnerability predictions is limited even when panel data are used. In part this low accuracy is due to low poverty incidence and … high mobility in and out of poverty. …

and the peak precipitation season from February to June in the Tian-Shan and Pamir Mountains of Central Asia. Using … hierarchical climate regionalization, we identified seven subregions with distinct precipitation patterns, and assessed … correlations with selected climate oscillations at different time lags. We then simulated the seasonal precipitation in each …