3 papers
cs.LG2025
Steering the LoCoMotif: Using Domain Knowledge in Time Series Motif Discovery
Aras Yurtman, Daan Van Wesenbeeck, Wannes Meert +1
Time Series Motif Discovery (TSMD) identifies repeating patterns in time series data, but its unsupervised nature might result in motifs that are not interesting to the user. To ad…
cs.LG2024
Quantitative Evaluation of Motif Sets in Time Series
Daan Van Wesenbeeck, Aras Yurtman, Wannes Meert +1
Time Series Motif Discovery (TSMD), which aims at finding recurring patterns in time series, is an important task in numerous application domains, and many methods for this task ex…
stat.AP2024
Fast and interpretable electricity consumption scenario generation for individual consumers
J. Soenen, A. Yurtman, T. Becker +2
To enable the transition from fossil fuels towards renewable energy, the low-voltage grid needs to be reinforced at a faster pace and on a larger scale than was historically the ca…