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

dc.contributor.author	Barua, Sujoy
dc.contributor.author	Nath, Anik
dc.contributor.author	Shahriyar, Fahim
dc.contributor.author	Mohammad, Nur
dc.date.accessioned	2021-10-27T05:43:34Z
dc.date.available	2021-10-27T05:43:34Z
dc.date.issued	2019-05-03
dc.identifier.uri	http://103.99.128.19:8080/xmlui/handle/123456789/336
dc.description.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.	en_US
dc.language.iso	en_US	en_US
dc.publisher	EWU	en_US
dc.subject	spatiotemporal	en_US
dc.subject	forecasting	en_US
dc.subject	electricity	en_US
dc.subject	energy mix	en_US
dc.subject	solar energy	en_US
dc.title	A Spatiotemporal Analysis and Forecasting of Electricity Generation-Mix in Bangladesh	en_US
dc.title.alternative	1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT 2019)	en_US
dc.title.alternative	ICASERT 2019	en_US
dc.type	Article	en_US