most citedEfficient Power Theft Detection for Residential Consumers Using Mean Shift Data Mining Knowledge Discovery Process

9 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

quant-ph2025

Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting

Nikolaos Schetakis, Paolo Bonfini, Negin Alisoltani +6

Accurate traffic forecasting plays a crucial role in modern Intelligent Transportation Systems (ITS), as it enables real-time traffic flow management, reduces congestion, and impro…

cs.DB2019★ 9 cited

Efficient Power Theft Detection for Residential Consumers Using Mean Shift Data Mining Knowledge Discovery Process

Konstantinos Blazakis, Georgios Stavrakakis

Energy theft constitutes an issue of great importance for electricity operators. The attempt to detect and reduce non-technical losses is a challenging task due to insufficient ins…