From Black Box to Clarity: AI-Powered Smart Grid Optimization with Kolmogorov-Arnold Networks
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.
- Publication:
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arXiv e-prints
- Pub Date:
- August 2024
- DOI:
- 10.48550/arXiv.2408.04063
- arXiv:
- arXiv:2408.04063
- Bibcode:
- 2024arXiv240804063W
- Keywords:
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- Electrical Engineering and Systems Science - Systems and Control
- E-Print:
- Accepted in Late Breaking Research Publications in 2024 IEEE Energy Conversion Congress and Exposition (ECCE)