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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Главные авторы: Leonardo Grant (Автор), Haniph Latchman (Автор), Kolapo Alli (Автор)
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Опубликовано: Trends in Computer Science and Information Technology - Peertechz Publications, 2023-08-18.
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