International Journal of Mathematics and Statistics Studies (IJMSS)

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Optimal EDC bill-mix through parameters tuning in an optimization model

Abstract

Citation: Charles O. Todo, Harrietta I. Ojarikre, and, John N Igabari (2022) Optimal EDC bill-mix through parameters tuning in an optimization model, International Journal of Mathematics and Statistics Studies, Vol.10, No.1, pp.20-29

Abstract: There has been the problem of inappropriate billing of customers by Electricity Distribution Companies (EDCs) in Nigeria. We considered an explicit minimization constrained optimization model where the objective and constraint functions are all linear, for a scenario involving bills (EDCs) generate for their customers. Our model optimizes the bills for different household types. To get a bill-mix that is optimal in the view of customers, model parameters are tuned to fit in with field data collected by the companies. The model was implemented using the computer software, Solver, and the results are presented.

Keywords: Customers, EDC, Model, bill, optimization, parameter tuning, solver

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Email ID: editor.ijmss@ea-journals.org
Impact Factor: 7.80
Print ISSN: 2053-2229
Online ISSN: 2053-2210
DOI: https://doi.org/10.37745/ijmss.13

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