Toward Proactive RF Charging Scheduling: Generative AI for Decision Support
Researchers have proposed using generative AI to improve scheduling for radio frequency wireless power transfer systems. The proposed method uses GenAI to generate multiple plausible charging scenarios, providing uncertainty-aware support for schedulers. This approach aims to enhance robust charging decisions, especially under risk-sensitive objectives, by preserving uncertainty through generative models. AI
IMPACT Could improve efficiency and reliability of wireless power systems by optimizing energy delivery.