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Nov, 2023
基于机器学习的配电网无功功率优化的可解释框架
An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network
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Wenlong Liao, Benjamin Schäfer, Dalin Qin, Gonghao Zhang, Zhixian Wang...
TL;DR
提出了一个可解释的机器学习框架来优化配电网络中的无功功率,通过全局和实例视角的可视分析,能够准确解释基于机器学习模型的无功功率优化解决方案。
Abstract
To reduce the heavy computational burden of
reactive power optimization
of distribution networks,
machine learning models
are receiving increasing attention. However, most
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