# TempShap: When and How Much a Feature Matters in Time-Series Forecasting

**Published:** October 27, 2026
**Author:** Chi Zhao, Anastasiia Chelnokova, Jing Liu, Elena Parilina
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/tempshap-when-and-how-much-a-feature-matters-in-time-series-forecasting

arXiv:2610.33330v1 Announce Type: new Abstract: Attribution for a time-series forecaster should answer two questions that a feature-level scalar cannot: when in the input window a feature acts, and how much its influence changes across the forecast horizon. Most existing Shapley…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2610.33330)

**Tags:** #arXiv

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