Abstract
With the advent of smart grids, distribution utilities have initiated a large deployment of smart meters on the premises of the consumers. The enormous amount of data obtained from the consumers and communicated to the utility give new perspectives and possibilities for various analytics-based applications. In this paper the current smart metering-based energy-theft detection schemes are reviewed and discussed according to two main distinctive categories: A) system state-based, and B) artificial intelligence-based.
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Fragkioudaki, A., Cruz-Romero, P., Gómez-Expósito, A., Biscarri, J., de Tellechea, M.J., Arcos, Á. (2016). Detection of Non-technical Losses in Smart Distribution Networks: A Review. In: de la Prieta, F., et al. Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection. PAAMS 2016. Advances in Intelligent Systems and Computing, vol 473. Springer, Cham. https://doi.org/10.1007/978-3-319-40159-1_4
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DOI: https://doi.org/10.1007/978-3-319-40159-1_4
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