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

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dc.contributor.authorBarua, Sujoy
dc.contributor.authorNath, Anik
dc.contributor.authorShahriyar, Fahim
dc.contributor.authorMohammad, Nur
dc.date.accessioned2026-07-06T21:29:12Z
dc.date.available2026-07-06T21:29:12Z
dc.date.issued3-May-2019
dc.description.abstractAn analysis is presented to show time series data
dc.description.abstractof electricity generation mix and forecasting by 2030 in
dc.description.abstractBangladesh. The comparative studies have been analyzed using
dc.description.abstractspatiotemporal data of Germany, Australia and Bangladesh.
dc.description.abstractThe spatiotemporal data has been taken out from World Bank
dc.description.abstractdata bank for analysis. A Linear regression technique is
dc.description.abstractapplied for forecasting electricity generation mix from 2015 to
dc.description.abstract2030. The result shows the rise of renewable energy sources,
dc.description.abstractcoal and oil, and the diminution of natural gas gradually.
dc.identifier.otherhttp://103.99.128.19:8080/jspui/handle/123456789/336
dc.identifier.urihttp://103.99.128.19:8080/xmlui/handle/123456789/336
dc.publisherEWU
dc.sourceCUET Digital Repository
dc.subjectspatiotemporal
dc.subjectforecasting
dc.subjectelectricity
dc.subjectenergy mix
dc.subjectsolar energy
dc.titleA Spatiotemporal Analysis and Forecasting of Electricity Generation-Mix in Bangladesh
dc.title.alternative1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT 2019)
dc.title.alternativeICASERT 2019

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