- Title
- Statistical analysis of electricity demand profiles
- Creator
- Mangisa, Siphumlile
- Subject
- Electric power consumption -- Forecasting
- Subject
- Energy consumption
- Subject
- Electric power consumption
- Date Issued
- 2013
- Date
- 2013
- Type
- Thesis
- Type
- Masters
- Type
- MSc
- Identifier
- vital:10572
- Identifier
- http://hdl.handle.net/10948/d1011548
- Identifier
- Electric power consumption -- Forecasting
- Identifier
- Energy consumption
- Identifier
- Electric power consumption
- Description
- An electricity demand profile is a graph showing the amount of electricity used by customers over a unit of time. It shows the variation in electricity demand versus time. In the demand profiles, the shape of the graph is of utmost importance. The variations in demand profiles are caused by many factors, such as economic and en- vironmental factors. These variations may also be due to changes in the electricity use behaviours of electricity users. This study seeks to model daily profiles of energy demand in South Africa with a model which is a composition of two de Moivre type models. The model has seven parameters, each with a natural interpretation (one parameter representing minimum demand in a day, two parameters representing the time of morning and afternoon peaks, two parameters representing the shape of each peak, and two parameters representing the total energy per peak). With the help of this model, we trace change in the demand profile over a number of years. The proposed model will be helpful for short to long term electricity demand forecasting.
- Format
- vi, 54, (22) leaves
- Format
- Publisher
- Nelson Mandela Metropolitan University
- Publisher
- Faculty of Science
- Language
- English
- Rights
- Nelson Mandela Metropolitan University
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NMMU School of Computer Science, Mathematics, Physics and Statistics
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