Abstract: Machine Learning (ML)-based optimization frameworks emerge as a promising technique for solving large-scale Mixed Integer Linear Programs (MILPs), as they can capture the mapping between ...
Abstract: Maintenance scheduling remains an essential part of power system operations, and finding mathematical solutions to this task is a priority for the scientific and engineering community. Its ...
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