arXiv Machine Learning June 19, 2026 By Xu Zhang, Zhengang Huang, Yunzhi Wu, Xun Lu, Erpeng Qi, Yunkai Chen, Zhongya Xue, Peng Wang, Wei Wang

Self-Adaptive Scale Handling for Forecasting Time Series with Scale Heterogeneity

Read the original on arXiv Machine Learning →

arXiv:2606. 20010v1 Announce Type: new Abstract: Current time series forecasting (TSF) research predominantly focuses on scale-homogeneous data, where different time series share similar numerical magnitude ranges.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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