(Springer, 2016) Fragkioudaki, Anna; Cruz-Romero, Pedro Luis; Gómez Expósito, Antonio; Biscarri Triviño, Jesús; Tellechea, Manuel J. de; Arcos Vargas, Ángel; Universidad de Sevilla. Departamento de Tecnología Electrónica; Universidad de Sevilla. Departamento de Ingeniería Eléctrica; Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas I; European Union (UE). FP7
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 statebased,
and B) arti cial intelligence-based.
