Data Leakage Inflates Generalizability of Power Outage Prediction Models

arXiv:2608.24665 · cs.LG · Submitted 2026-08-25 · Read on arXiv

cs.LG

Submitted: 2026-08-25

Updated: 2026-08-25

Terminology

• Embeddings — 27× in this paper · explained in 2 episodes
• Generalizability — 26× in this paper · explained in 6 episodes
• Foundation Model — 22× in this paper · explained in 3 episodes
• Mean Absolute Error — 10× in this paper
• Foundation Models — 9× in this paper · explained in 7 episodes
• Generalization — 8× in this paper · explained in 13 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Feature Selection — 3× in this paper · explained in 4 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Temporal Correlations — 2× in this paper · explained in 2 episodes
• Transferability — 2× in this paper · explained in 4 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Generalized Linear Models — 1× in this paper
• Quantifying Uncertainty — 1× in this paper · explained in 5 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sampling Biases — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• alpha — 1× in this paper · explained in 1 episode

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