Revenue protection for smart utilities dig value from Big Data

A distribution company may have hundreds of thousands or even millions of domestic customers. Distribution lines were rarely monitored for losses in the past: the high number of points to equip made monitoring prohibitively costly. Another problem is that the inspection teams can only investigate a small fraction of the possible cases of non-technical loss as site visits are time-consuming and expensive. Traditional methods, with their high dependence on field inspectors, have low detection rates – typically between just 5-10 percent. The progressive roll-out of AMI first to large consumers and, more recently in electricity, to small businesses and consumers, can help reduce non-technical losses and make them easier to detect – but these improvements can also be achieved where traditional meters are still the norm.

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Revenue protection for smart utilities dig value from Big Data

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