A Spatiotemporal Analysis and Forecasting of Electricity Generation-Mix in Bangladesh

Abstract

An analysis is presented to show time series data of electricity generation mix and forecasting by 2030 in Bangladesh. The comparative studies have been analyzed using spatiotemporal data of Germany, Australia and Bangladesh. The spatiotemporal data has been taken out from World Bank data bank for analysis. A Linear regression technique is applied for forecasting electricity generation mix from 2015 to 2030. The result shows the rise of renewable energy sources, coal and oil, and the diminution of natural gas gradually.