Detection of electricity theft in developing countries-A machine learning approach
<p>In developing countries, energy theft negatively affects the growth of utilities through loss of revenue and damage to the grid. The size and variety of the utility data set require extracting meaningful features to counter theft, which is difficult and computationally expensive. Recent dev...
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| Format: | Book |
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Trends in Computer Science and Information Technology - Peertechz Publications,
2023-08-18.
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| Online Access: | Connect to this object online. |
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