4 citations · 7 across the 4 of their papers we have counts for
5 papers
From Benchmarks to Production: Transferring Time Series Anomaly Detection Methods for Electricity Production Monitoring
Nicolas Vautier, Paul Caron, Nardi Xhepi +4
Accurate forecasting of electricity production is essential for maintaining the operational efficiency and strategic planning of energy utilities. In industrial settings, such fore…
Toward Interpretable Evaluation Measures for Time Series Segmentation
Félix Chavelli, Paul Boniol, Michaël Thomazo
Time series segmentation is a fundamental task in analyzing temporal data across various domains, from human activity recognition to energy monitoring. While numerous state-of-the-…
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series
Adrien Petralia, Paul Boniol, Philippe Charpentier +1
In recent years, electricity suppliers have installed millions of smart meters worldwide to improve the management of the smart grid system. These meters collect a large amount of…
Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series
Adrien Petralia, Paul Boniol, Philippe Charpentier +1
Improving smart grid system management is crucial in the fight against climate change, and enabling consumers to play an active role in this effort is a significant challenge for e…
Dive into Time-Series Anomaly Detection: A Decade Review
Paul Boniol, Qinghua Liu, Mingyi Huang +2
Recent advances in data collection technology, accompanied by the ever-rising volume and velocity of streaming data, underscore the vital need for time series analytics. In this re…