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Issue DateTitleAuthor(s)
2012-01Energy-cost analysis of alternative sources to electricity in NigeriaSimolowo, O. E.; Oladele, S.
2012Developing an imaging software for automated recycling processes (phase 1)Simolowo, O. E.; Mousavi, A.
2012Prototype design and test analysis of a bean particle separating machineSimolowo, O. E.; Dabor, S. E.; Aigbokihai; Awomolo, A.
2012-01Modelling and forecasting periodic electric load for a metropolitan city in NigeriaEneje, I. S.; Fadare, D. A.; Simolowo, O. E.; Falana, A.
2012Assessment of household energy efficiency in Ibadan, NigeriaAdediran, A. A.; Simolowo, O. E.
2012Developing a dynamic load-tracking learning-software for winch lift designSimolowo, O. E.; Gbadebo, A.
2012-01In this work, three models are used to analyze the electric load capacity of a fast growing urban city and to estimate its future consumption. Ikorodu, the case-study location is a highly populated city whose energy demand is continuously increasing. The ultimate focus of this study is to establish a basis for the comparison of different electric load consumption for the existing populace and to provide estimates for the future planning of the city. In this work, three different models have been used to present more accurate load predictions and to enhance proper comparison of results. Among numerous mathematical and scientific models that are applicable to this kind of task, the compound-growth method, the linear model approach and the cubic model have been chosen to enhance diversity in load analysis. The futuristic scheme to be harnessed will fall within the ranges of values obtained from the three different models used in forecasting. This paper concludes with issues pertaining to economics of load utilization as it affects substantive planning.Eneje, I. S; Fadare, D. A.; Simolowo, O. E.; Falana, A.
2012Development of software algorithm for energy modeling and forecastingAkintunde, O. A.; Simolowo, O. E.

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