Deep reinforcement learning for building control

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorHe, Yifei
dc.contributor.advisorWang, Zhe
dc.contributor.authorZheng, Wanfu
dc.contributor.schoolSähkötekniikan korkeakoulufi
dc.contributor.supervisorMarkidis, Stefano
dc.date.accessioned2022-09-04T17:03:05Z
dc.date.available2022-09-04T17:03:05Z
dc.date.issued2022-08-22
dc.format.extentXiii+50
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/116503
dc.identifier.urnURN:NBN:fi:aalto-202209045314
dc.language.isoenen
dc.locationP1fi
dc.programmeMaster's Programme in ICT Innovationfi
dc.programme.majorAutonomous Systemsfi
dc.programme.mcodeELEC3055fi
dc.subject.keyworddeep reinforcement learningen
dc.subject.keywordbuilding controlen
dc.subject.keywordbuilding energy managementen
dc.subject.keywordoptimizationen
dc.subject.keywordthermal discomforten
dc.subject.keywordoperational costen
dc.titleDeep reinforcement learning for building controlen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotDiplomityöfi
local.aalto.electroniconlyyes
local.aalto.openaccessno

Files