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World Journal of Engineering
Research and Technology

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.218

ICV : 79.45

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Indexing

Abstract

FORECASTING ENERGY DEMAND IN CALABAR METROPOLIS FOR SYSTEM PLANNING AND MANAGEMENT

Eko Akpama, Vincent Ogar*, Daniel Abara and Asuquo Eke

ABSTRACT

Electricity use has become an indicator of economic development. Population, technology, economic status of the end-user, temperature, season, and so on, are factors affecting the rate of consumption of/and demand for electricity. Load forecast is used to estimate the total electric energy needed by a household or industry for future purposes. Short, medium and long term periodic measure and estimates are different period of estimating load demand. This information is a prerequisite to good power planning and management, the inadequacy or non-availability of electric energy can be traced to lack or wrong estimates. In this paper the multiple regression method used to predict future energy demand in Calabar Metropolis because it has an error within acceptable range. Accurate models for electric power load forecasting are essential to the operation, planning and management of a utility company. Calabar metropolis is randomly selected as the sample society. When future demand is estimated, the calculated peak load show that energy demand in Calabar Metropolis will be 118.20 MW in 2028. The research finding also show that for electricity supply or generation to meet electricity demand of Nigeria there must be an upward trend increase in power generation, at least 4% increase of the current capacity annually or 40 % within ten (10) years.

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