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Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment
Security-constrained unit commitment (SCUC) is a computationally complex process utilized in power system day-ahead scheduling and market clearing.
Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operations
The ML was then aided with a feasibility layer (FL) and post-process technique to ensure high-quality solutions.
Machine Learning Assisted Approach for Security-Constrained Unit Commitment
Security-constrained unit commitment (SCUC) is solved for power system day-ahead generation scheduling, which is a large-scale mixed-integer linear programming problem and is very computationally intensive.
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