From Black Box to Clarity: AI-Powered Smart Grid Optimization with Kolmogorov-Arnold Networks
<|reference_start|>From Black Box to Clarity: AI-Powered Smart Grid Optimization with Kolmogorov-Arnold Networks: 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.<|reference_end|>
@article{wang2024from,
    title={From Black Box to Clarity: AI-Powered Smart Grid Optimization with
  Kolmogorov-Arnold Networks},
    author={Xiaoting Wang, Yuzhuo Li, Yunwei Li, and Gregory Kish},
    journal={arXiv preprint arXiv:2408.04063},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.04063},
    primaryClass={eess.SY cs.SY}
}