Forecasting COVID-19 Patients & Power Demand in Bangladesh
Date
2021-03-30
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh
Abstract
This research gives a better understanding & analysis of the global pandemic situation of covid-19 in Bangladesh. Using machine learning this model accurately forecasts new cases, deaths & recoveries. Then it forecasts the necessary hospital seats & power demands for those seats. This hopefully will provide a better support for the struggling power sector of developing countries like Bangladesh. This will also help to prepare other countries who are struggling for such epidemic situations in the future.
Description
Supervised by
Prof. Dr. Khondokar Habibul Kabir,
Department of Electrical and Electronics Engineering(EEE),
Islamic University of Technology(IUT),
Board Bazar, Gazipur-1704, Bangladesh
Keywords
Machine learning, COVID-19, ARIMA, CSSE, SVM, RMSE