<ul><li>Machine Learning (ML) techniques are gaining attention for Optimal Power Flow (OPF) problems due to the increasing complexity of energy production in modern grids.</li><li>The lack of standardized datasets and evaluation metrics has hindered progress in ML for OPF.</li><li>To address this challenge, PGLearn has been introduced as a suite of standardized datasets and evaluation tools for ML and OPF.</li><li>PGLearn provides realistic datasets, supports multiple OPF formulations, and aims to democratize access to the field by offering publicly available datasets.</li></ul>

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow

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