Consumer load prediction and theft classification using intelligent techniques /
Acquisition and analysis of consumer electricity data are essential for the management of the power system. Several approaches for analyzing these data have been reported in the literature with various degrees of success. However, consumers' aggregated data were applied, which lacks information...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
Kuala Lumpur :
Kulliyyah of Engineering, International Islamic University Malaysia,
2015
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| Subjects: | |
| Online Access: | Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. |
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