This document details a comprehensive quantitative analysis of how diffusion processes influence the adoption of renewable energy policies (REPs) by states from 1990 to 2019. The research utilizes six primary datasets and constructs 15 spatiotemporal autoregressive models (five for each of three phases spanning different time periods). The results, presented in tables and figures, gauge the significance of these variables in predicting Renewable Energy Policy adoption across countries and time, offering insights into the interdependencies and mechanisms behind the global spread of renewable energy policy.

EV Customer Detection from Electricity Consumption

Análisis de datos para proyecto final del diplomado en R