A causal generative model-based optimal scheduling method for blast furnace gas system considering unknown scenarios

Key Points

• Optimal scheduling improves gas utilization efficiency in blast furnaces under variable or unknown conditions.
• The method is based on a causal generative model that adapts to different operational scenarios.
• This analysis explores the impact of unknown operational challenges on scheduling through simulations and models.
• The findings suggest potential enhancements in gas system performance, though real-world applications require further validation.