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This work compares and evaluates clustering techniques for generating representative daily load profiles that are characteristic of residential energy consumers in South Africa. The input data captures two decades of metered household consumption, covering 14 945 household years and 3 295 848 daily...
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| Format: | Thesis |
| Language: | English |
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Department of Computer Science
2020
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