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Apr, 2023
应用机器学习中的电网行为模式和泛化风险
Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning
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Shimiao Li, Jan Drgona, Shrirang Abhyankar, Larry Pileggi
TL;DR
本文探讨了忽视电网特有的空间时间特征在模型设计和训练中所带来的泛化风险，提供了电网的各种行为模式及其观察结果作为参考，并对现有的机器学习方法进行了评估。
Abstract
Recent years have seen a rich literature of
data-driven
approaches designed for
power grid
applications. However, insufficient consideration of domain knowledge can impose a high risk to the practicality of the m
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