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Geospatial Data for Non-Technical Loss Detection by Samer Maaraoui is a document available to read on EtoBox.
What is Geospatial Data for Non-Technical Loss Detection about?
This paper proposes combining smart meter electricity consumption data with cellular phone data records to detect non-technical losses (NTL), such as electricity theft. NTL detection is challenging but important for utilities, as the costs are passed to customers. Traditionally, utilities have used rules-based methods or machine learning on their internal data to identify anomalies. However, some fraud types are difficult to detect without external data on activity patterns. The paper aims to improve NTL de
- Author
- Samer Maaraoui
- Language
- EN