Reinforcement learning with dual safety policies for energy savings in building energy systems

HIGHLIGHTS

• who: Xingbin Lin and collaborators from the Gridsum Inc, North, th Ring Rd, Beijing, China have published the paper: Reinforcement Learning with Dual Safety Policies for Energy Savings in Building Energy Systems, in the Journal: Buildings 2023, 13, x FOR PEER REVIEW of 12/02/2021
• what: The authors propose an RL algorithm with dual safety policies for energy savings in the HVAC system. To solve the above problem, maintaining indoor temperature compared to rule ofcontrol and the authors propose a method based on residual requirements, learning, based on the characteristics the control. The this . . .
  

   

  

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