Toggle Main Menu Toggle Search

Open Access padlockePrints

Modelling and Forecasting Energy Demand in Rural Households of Bangladesh

Lookup NU author(s): Dr Kumar Biswajit DebnathORCiD



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Bangladesh, the eighth largest populous country in the world, has a significant rural population (70%), which is contributing to the energy demand of the country. The major portion in energy demand of rural households is biomass energy. With the improvement in GDP the rural energy demand would switch to more electricity intensive demand pathway. This paper focuses on a bottom up approach towards modelling the aggregated energy demand of rural households of Bangladesh form the year 2010 to 2050. The combination of four level scenarios of four variables (population, GDP electrification index, public energy conservation index) would forecast lowest, highest and optimum energy demand pathways for rural households of Bangladesh. The study not only considers the electricity demand of the rural household, but also it would render the opportunity to concentrate at the detail user end energy demands (e.g. liquid fuel, biomass etc.). Energy demandforecastingrural householdsBangladesh

Publication metadata

Author(s): Debnath KB, Mourshed M, Chew SPK

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Clean, Efficient and Affordable Energy for a Sustainable Future: The 7th International Conference on Applied Energy (ICAE2015)

Year of Conference: 2015

Pages: 2731-2737

Print publication date: 01/08/2015

Online publication date: 28/08/2015

Acceptance date: 28/08/2015

Date deposited: 30/05/2022

ISSN: 1876-6102

Publisher: Elsevier


DOI: 10.1016/j.egypro.2015.07.480

Series Title: Energy Procedia