Anyadike22/Predictive-Modeling-of-Electricity-Access-in-Africa

# Predictive-Modeling-of-Electricity-Access-in-Africa ## Project Overview Access to electricity is vital for economic development and societal well-being. Nations with reliable electricity tend to exhibit higher productivity, an improved standard of living, and enhanced competitiveness in the global market. Electricity plays a crucial role across various sectors, including agriculture, education, and healthcare, ensuring their efficient operations. This research endeavours to analyze data from 1990 to 2021 to discern patterns and trends in electricity access across African countries. Leveraging regional and income data, alongside predictive modelling techniques, our goal is to offer insights that can guide policy decisions and interventions aimed at understanding electricity access in the region. According to data analysis and projections from the International Energy Agency (IEA), approximately 110 million new connections are required annually starting in 2022. However, given the current pace observed in recent years, this target remains significantly off track (IEA, 2023). (iea.org data-and-projections). The idea of this project is to analyze and track the trend of electricity access in Africa and attempt to develop predictive modelling of electricity access in Africa to identify significant statistical relationships and differences through the forecast and trends. ## Problem Statement The problem that this study addresses revolves around the persistent challenge of low electricity access in various African countries. If this issue remains unaddressed, it could have severe consequences, impacting millions of people and impeding socio-economic development in these countries. The lack of electricity access hinders progress towards achieving the United Nations' Sustainable Development Goals (SDGs) of promoting inclusive and sustainable economic growth. To effectively tackle this challenge, robust forecasting techniques like the ARIMA …