IND-Eval: Aligning Evaluation and Simulation for Industrial Time Series Foundation Models
IND-Eval created a public benchmark for industrial time series forecasting, organizing data into source-specific tasks. Evaluating models showed that performance varies by source, suggesting model selection should match the intended use case rather than a single benchmark ranking. This reveals a trade-off between specialization and generality in both model choice and simulator design.