Abstract: This paper introduces a method for personalizing energy optimization using large language models (LLMs) combined with an optimization solver. This approach, termed human-guided optimization ...
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 ...
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