Data-driven transient forecasting for generator digital twin decision support

US & West · 4 Sept

A calibrated surrogate model for forecasting generator transients was developed to support digital twin decision-making. The model evaluates planned load commands before application using event-conditioned Hankel-DMDc and split-conformal calibration for prediction bands, helping operators ensure voltage and frequency remain within limits.

Why it matters

This approach improves reliability of operational power system management by providing probabilistic assessment of control actions.

Relevant to DT products

DT.Balance DTE DT.Forecast

Original headline: Data-Driven Generator Transient Prediction for Digital Twin Decision Support

Read the original: arXiv API — полнотекстовый поиск "digital twin"

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Data-driven transient forecasting for generator digital twin decision support

Why it matters

Relevant to DT products

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