Thesis (Mathematics) -- University of Limpopo, 2010 / Forecasting electricity consumption is a challenge for most power utilities. In South Africa the anxiety posed by electricity supply disruption is a cause for concern in sustainable energy planning. Accurate forecasting of future electricity consumption has been identified as an essential input to this planning process. Forecasting electricity consumption has been widely researched and several methodologies
suggested. However, various methods that have been proposed by a number of researchers are dependent on environment and market factors related to the scope of
work under study making portability a challenge. The aim of this study is to investigate models to forecast short term electricity consumption for operational use
and medium term electricity consumption for tactical use in the Ferrochrome sector in South Africa. An Autoregressive Moving Average method is suggested as an appropriate tool for operational planning. The Holt-Winter Linear seasonal smoothing method is suggested for tactical planning.
Keywords:
Forecasting, electricity consumption, operational planning, tactical
planning, ARIMA, Holt-Winter Linear seasonal smoothing, Ferrochrome sector
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ul/oai:ulspace.ul.ac.za:10386/1150 |
| Date | January 2010 |
| Creators | Nedzingahe, Livhuwani |
| Contributors | Lesaoana, Maseka, Ncube, Ozias |
| Publisher | University of Limpopo (Medunsa Campus ) |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Relation | Acrobat 6 |
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