Abstract: Highlights•A learning process to estimate UFLS, focusing on common conventional schemes.•Feature selection and a new partitioning method for regression trees are analyzed.•Novel UFLS estimation with MILP models provides unique insights.
External IDs:dblp:journals/eaai/RajabdorriTKSSL25
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