arXiv cs.LG
· Papers
Challenges of Explainability in Continual Learning for Time Series Forecasting
arXiv:2607.19382v1 Announce Type: new Abstract: Deep learning models have shown strong potential for time series forecasting, yet their deployment in real-world environmental monitoring remains challenging due to non-stationary dynamics and limited explainability. In this work, we investigate explainability as a centra