Approximate Mathematical Model for load profiling and demand forecasting
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2017, Vol 12, Issue 5
Abstract
This paper describes the development of approximate mathematical models to be used in load profiling and forecasting, e.i., the household and commercial load profile. The model was developed by studying and profiling load demand of Manyana, a village in Botswana. Basing on the random nonlinear regression results of the load demand profiles of Manyana village the numerical methods of least square approximation was chosen to determine the relationship between daily hours against energy consumption in kWh to get a mathematical representation between the two variables. The method of least square approximation enables approximate determination of the polynomial function of order n for any nonlinear regression discrete data. The work is still ongoing where by developed mathematical models will be used in coding to compute energy consumption prediction for any future energy demand and also generate a graphical representation for any other village in forecasting short, medium and long term energy demand.
Authors and Affiliations
Kelebaone Tsamaase, Utlwanang Moyo, Ishmael Zibani, Ibo Ngebani, Pran Mahindroo
Keywords
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- EP ID EP388368
- DOI 10.9790/1676-1205022934.
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