Huda, A.S. NazmulMiraz, Kazi Farhan AlBiswas, KallolRudra, MD. Rakin Yousuf2021-07-132021-07-1320212021-01ID: 14321047ID: 15121002ID: 16321092http://hdl.handle.net/10361/14795Cataloged from PDF version of thesis.Includes bibliographical references (pages 37-42).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2021.The purpose of this work is to forecast the electricity demand of Bangladesh using the Group Method of Data Handling (GMDH). Electricity is one of the key variables in ensuring economic growth and a higher standard of life. For a developing country like Bangladesh, it is very important to have a near accurate forecast of electricity demand for future planning. After careful preparation of a time series data set of GDP, GNI, CO2 emission, ambient temperature, the data sheet was fed into the GMDH model and an acceptable forecast was found. GMDH Shell software is used for the application of GMDH algorithm and time series analysis.This purpose is also resolved by deep learning and ANN application.High extensive correlation among features and pre processing could make fruitful in optimal prediction42 Pagesen-USBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Data handlingGMDHTime series analysisANNData pre processing.Thesis