Optimal trajectory-guided stochastic co-optimization for e-fuel system design and real-time operation

Researchers developed MasCOR, a machine-learning framework for optimizing e-fuel production systems that combines design and operational decisions under renewable energy uncertainty. The system demonstrates near-optimal performance with significantly lower computational costs than traditional mathematical programming approaches.