GFISGreenFuel Intelligence System

Datasets · experiments · papers

The research dossier is separate from the submission shelf.

This section records exactly which public evidence GFIS uses, what each dataset can support, experiment outcomes and the publication pathway.

Dataset provenance register

IDSourceGFIS useScientific boundary
DS-05Mendeley Data
CC BY 4.0
138 March–July reactor records; 86 measured-methane targets; chronological persistence/XGBoost/LSTM comparison.Small research-reactor series; missing laboratory variables remain missing.
DS-06University of Iowa
ODC-By 1.0
500,400 one-minute full-scale SCADA records; industrial replay, data quality and future total-biogas benchmark.Biogas is total biogas in CFM—not methane. No DS-06 neural epoch is claimed yet.
DS-03Mendeley farm-scale monitoringEarlier total-biogas and weather/temperature-regime experiment retained as comparative evidence.Does not independently validate continuous methane because methane fraction is substantially missing.

Current experiment decision

Required baseline

Persistence

Remains essential because a temporal neural model must beat the previous observation under leakage-safe validation.

Current challenger

XGBoost

Lowest repeated-seed final-period DS-05 error; rolling-origin robustness remains the primary decision criterion.

Not promoted

LSTM

Actual 60-epoch histories are retained, but the present LSTM loses to required baselines on the untouched period.

Research-paper dossier

Paper A · temporal methane intelligence

Leakage-safe public-data comparison, limitations, drift and reproducible experiment memory.

Paper B · physics-guided plant twin

Mass/physics boundaries, VFA/ALK calibration pathway, scenario memory and operator evidence.

Industry benchmark programme

Continuous methane analyser data, laboratory VFA/ALK, VS/BMP physics-loss ablation and plant-specific calibration remain required.