About this document
Efficient Scheduling for Energy Hubs by nynkesjmboersma is a document available to read on EtoBox.
This study presents a novel scheduling algorithm for multiple energy hubs (EHs) that combines federated learning (FL) and matching deep reinforcement learning (DRL) to address efficiency and privacy concerns. The algorithm utilizes twin delayed deep deterministic policy gradient (TD3) for energy conversion scheduling while ensuring adaptive control under varying energy demands and prices. Simulation results demonstrate the algorithm
- Author
- nynkesjmboersma
- Language
- EN