A Spatiotemporal Analysis and Forecasting of Electricity Generation-Mix in Bangladesh
Date
3-May-2019
Journal Title
Journal ISSN
Volume Title
Publisher
EWU
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.
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.
Description
Keywords
spatiotemporal, forecasting, electricity, energy mix, solar energy