Author

Weizhong Yan

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#artificial intelligence Preprint Sep 2026

Assessing Covariate-Informed Grid Load Forecasting with a Time-Series Foundation Model

Modern power systems are growing increasingly complex as they integrate diverse generation sources to meet rising demand, making accurate load forecasting challenging. Recent advances in time-series foundation models (TSFMs) resulted in promising performance in zero-shot univariate load forecasting tasks. However, real...

Varsha Pendyala, Yi-Wei Fu, Weizhong Yan et al. · 0 citations

Conference Open access Jul 2026

Anomaly Detection in Multivariate Industrial Signals: LLMs, TSFMs, or Classical Deep Learning

This paper defines a set of guiding principles (such as avoiding pre-learning or representation learning on the signals) to ensure the LLMs remain general-purpose models and proposes several algorithmic approaches for building multivariate anomaly detection pipelines.

Allen Baranov, Sarah Alnegheimish, Alfredo Cuesta-Infante et al. · PHM Society European Confere... · 0 citations