Author

Nurali Virani

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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

#machine learning Preprint Aug 2026

Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration

The Penalty + Sequential Linearized Feasibility Seeking (SLFS) algorithm is presented, a self-supervised learning framework for multiphase distribution AC-OPF under switch-induced topology changes, demonstrating a viable path toward real-time, topology-aware AC-OPF for large-scale distribution grids.

H. Nguyen, Shao-Hui Liu, R. Biswas et al. · 0 citations