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arXiv · 2408.04063

From Black Box to Clarity: AI-Powered Smart Grid Optimization with Kolmogorov-Arnold Networks

Xiaoting Wang·Yuzhuo Li·Yunwei Li·Gregory Kish
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Abstract

This work is the first to adopt Kolmogorov-Arnold Networks (KAN), a recent breakthrough in artificial intelligence, for smart grid optimizations. To fully leverage KAN's interpretability, a general framework is proposed considering complex uncertainties. The stochastic optimal power flow problem in hybrid AC/DC systems is chosen as a particularly tough case study for demonstrating the effectiveness of this framework.

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Xiaoting Wang, Yuzhuo Li, Yunwei Li, Gregory Kish. 2024-08-07. From Black Box to Clarity: AI-Powered Smart Grid Optimization with Kolmogorov-Arnold Networks. https://arxiv.org/abs/2408.04063

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