Electricity theft is a huge problem, some countries see as much as 40 per cent of their supply syphoned off largely by users who have tampered with meters, researchers said.
A team from University of Luxembourg looked at the energy use of 3.6 million Brazilian households over five years.
The researchers specifically focused on nearly 200 million monthly readings made by professional meter readers.
They then developed an algorithm that, after sifting through the readings, could recognise when energy use at a property was suspiciously low.
The most accurate versions of the system were able to identify problem cases just over 65 per cent of the time, 'News Scientist' reported.
"This could help better target physical inspections of properties, which cost time and money and can also be dangerous," researchers said.
"It could also offer insights for electricity suppliers elsewhere seeking to do a better job of reading your meter," they added.
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