Acquiring Better Load Estimates by Combining Anomaly and Change-point Detection in Power Grid Time-series Measurements

1 code implementation • 25 May 2024 • Roel Bouman, Linda Schmeitz, Luco Buise, Jacco Heres, Yuliya Shapovalova, Tom Heskes

In this paper we present novel methodology for automatic anomaly and switch event filtering to improve load estimation in power grid systems.

Unsupervised anomaly detection algorithms on real-world data: how many do we need?

1 code implementation • 1 May 2023 • Roel Bouman, Zaharah Bukhsh, Tom Heskes

In this study we evaluate 32 unsupervised anomaly detection algorithms on 52 real-world multivariate tabular datasets, performing the largest comparison of unsupervised anomaly detection algorithms to date.

Unsupervised Anomaly Detection