Hybrid deep reinforcement learning considering discrete-continuous action spaces for real-time energy management in more electric aircraft

HIGHLIGHTS

• who: Bing Liu et al. from the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China have published the paper: Hybrid Deep Reinforcement Learning Considering Discrete-Continuous Action Spaces for Real-Time Energy Management in More Electric Aircraft, in the Journal: Energies 2022, 15, 6323. of /2022/
• what: The authors propose an energy management strategy for MEA based on hybrid deep reinforcement learning (HDRL). In this paper, the main objectives of energy management are to stabilize the generators in the optimal operating range as much as possible; to enforce predefined connection priority rules between . . .
  

   

  

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