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Journal of Applied Sciences and Environmental Management
World Bank assisted National Agricultural Research Project (NARP) - University of Port Harcourt
ISSN: 1119-8362
Vol. 23, No. 4, 2019, pp. 753-757
Bioline Code: ja19112
Full paper language: English
Document type: Research Article
Document available free of charge

Journal of Applied Sciences and Environmental Management, Vol. 23, No. 4, 2019, pp. 753-757

 en Linear Regression Long-Term Energy Demand Forecast Modelling in Ogun State, Nigeria
ADE-IKUESAN, OO; OYEDEJI, AO & OSIFEKO, MO

Abstract

This study uses linear regression analysis technique to forecast the energy load demand in Ogun State and the population for a 10-year period. Energy Demand data for the state for the years 2016 and 2017 was obtained from Ibadan Electricity Distribution Company (IBEDC) and the population data collected from the National Population Commission. The result shows a population growth rate of 3.35% per year. The Energy Consumption Demand should not rise above 1,365,024.72MWh for a population of 7,791,237 by the year 2028, showing an increase of 53% from 892,170.95MWh. The result of this work is very useful to energy distribution company (IBEDC) for their operational and planning activities for continued satisfactory service delivery.

Keywords
Load forecasting; Energy Demand; Long-Term Forecast; Linear Regression

 
© Copyright 2019 - Ade-Ikuesan et al.

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