Building heat demand prediction based on reinforcement learning for thermal comfort management

HIGHLIGHTS

• who: Chendong Wang and collaborators from the Tianjin Key Laboratory of Indoor Air Environmental Quality Control, Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, School of Environmental Science and Engineering, Tianjin University, Tianjin, China have published the article: Building Heat Demand Prediction Based on Reinforcement Learning for Thermal Comfort Management, in the Journal: Energies 2022, 7856 of /2022/
• what: The environment reward function and agent of the model were established and experiments were carried out to verify the effectiveness and advancement of the model. Through the the model proposed in this study . . .
  

   

  

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