Learning to Fix: Optimisation-Aware Machine Learning for Accelerated Unit Commitment

Unit Commitment is a computationally demanding mixed-integer linear optimisation problem requiring many binary commitment decisions across a scheduling horizon. To reduce this computational burden, machine learning approaches can predict a subset of these decisions, thereby shrinking the search spac