Please use this identifier to cite or link to this item: http://103.99.128.19:8080/xmlui/handle/123456789/336
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dc.contributor.authorBarua, Sujoy-
dc.contributor.authorNath, Anik-
dc.contributor.authorShahriyar, Fahim-
dc.contributor.authorMohammad, Nur-
dc.date.accessioned2021-10-27T05:43:34Z-
dc.date.available2021-10-27T05:43:34Z-
dc.date.issued2019-05-03-
dc.identifier.urihttp://103.99.128.19:8080/xmlui/handle/123456789/336-
dc.description.abstractAn 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.isoen_USen_US
dc.publisherEWUen_US
dc.subjectspatiotemporalen_US
dc.subjectforecastingen_US
dc.subjectelectricityen_US
dc.subjectenergy mixen_US
dc.subjectsolar energyen_US
dc.titleA Spatiotemporal Analysis and Forecasting of Electricity Generation-Mix in Bangladeshen_US
dc.title.alternative1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT 2019)en_US
dc.title.alternativeICASERT 2019en_US
dc.typeArticleen_US
Appears in Collections:proceedings in EEE

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