Litcius/Paper detail

Towards comfortable and cost-effective indoor temperature management in smart homes: A deep reinforcement learning method combined with future information

Wu Ze-Qing, Yunfei Mu, Shuai Deng, Jiajun Wang, Yadi Bai, Juan Xue, Yang Li, Youtao Jiang, Xunda Zhang, Weicong Xu

2022Energy and Buildings18 citationsDOI

Topics & Concepts

Reinforcement learningMarkov decision processComputer scienceProcess (computing)Control (management)Thermal comfortArtificial intelligenceReal-time computingMarkov processMeteorologyOperating systemMathematicsStatisticsPhysicsBuilding Energy and Comfort OptimizationRefrigeration and Air Conditioning TechnologiesInfection Control and Ventilation
Towards comfortable and cost-effective indoor temperature management in smart homes: A deep reinforcement learning method combined with future information | Litcius