Data Party THU
Jan 25, 2026 · Big Data
How Tsinghua’s Big Data Initiative Boosted Refinery Energy Forecasts with GRU
The Tsinghua University Big Data Capability Project applied GRU‑based deep learning, pulse‑event encoding, and advanced feature engineering to transform discrete refinery energy data into continuous sequences, achieving prediction accuracies of 84.2%, 82.7% and 81.6% for fuel gas, medium‑pressure and low‑pressure steam respectively.
GRUenergy predictionfeature engineering
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