Patent ID: 11861753
Assignee: PROJECT CANARY, PBC
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 5:
6. The emission prediction method of claim 5, further comprising:
training the emission-prediction-machine-learning model with:
the first set of event parameters;
the second set of event parameters; and
the set of SCADA parameters,

monitoring, over a predefined time period, the first set of event parameters, the second set of event parameters, and the set of SCADA parameters to create:
a refined first set of event parameters, a refined second set of event parameters, and a refined set of SCADA parameters;

refining, iteratively and over the predefined time period, the trained emission-prediction-machine-learning model with the refined first set of event parameters, the refined second set of event parameters, and the refined set of SCADA parameters to:
create a refined emission-prediction-machine-learning model, wherein the refined emission-prediction-machine-learning model generates:
a refined predicted emission parameter corresponding to the component; and

predicting the emissions fugitively associated with the component with the refined predicted emission parameter.