Trust-Aware Predictive Emissions Monitoring for Gas Turbine Fleets
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Trust-Aware Predictive Emissions Monitoring for Gas Turbine Fleets with Limited Labelled Data
arXiv:2606.06156v1 Announce Type: new Abstract: Machine learning-based predictive emissions monitoring systems offer a practical alternative to direct emissions measurement, but their deployment across gas turbine fleets is challenging when emissions labels are available for only a small subset of assets. In this work, a trust-aware probabilistic framework is proposed for fleet-level gas turbine NOx prediction under limited labelled supervision. The framework combines a multi-head recurrent...