ML model saves 2% gas in steel furnace operations
pastramimachine · x · 2026-08-25
Energiency used machine learning to analyze one year of gas consumption data (1,600 time series) for a steel rolling mill furnace. The resulting baseline model detects abnormal consumption in real-time, identifying a 2% natural gas saving potential now used in workshops.
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