Learning-Based Augmentation and Adaptation for Grid Sim-to-Real Model Discrepancy

arXiv:2609.21986 · eess.SY, cs.SY · Submitted 2026-09-18 · Read on arXiv

eess.SY, cs.SY

Submitted: 2026-09-18

Updated: 2026-09-18

Terminology

• Adaptation — 43× in this paper · explained in 1 episode
• Transformer — 19× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Adaptability — 6× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Catastrophic Forgetting — 5× in this paper · explained in 5 episodes
• Continual Learning — 5× in this paper · explained in 2 episodes
• Interpretability — 5× in this paper · explained in 15 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Artificial Intelligence (AI) — 3× in this paper · explained in 2 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Latent Representation — 3× in this paper · explained in 2 episodes
• Activation Function — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Embeddings — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Verification — 2× in this paper · explained in 2 episodes
• DeepONet — 1× in this paper · explained in 2 episodes
• Dynamic Modeling — 1× in this paper · explained in 3 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Root Mean Square Error — 1× in this paper
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators
• Transient Stability Analysis with Physics-Informed Neural Networks

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