Deep reinforcement learning for building control
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.advisor | He, Yifei | |
| dc.contributor.advisor | Wang, Zhe | |
| dc.contributor.author | Zheng, Wanfu | |
| dc.contributor.school | Sähkötekniikan korkeakoulu | fi |
| dc.contributor.supervisor | Markidis, Stefano | |
| dc.date.accessioned | 2022-09-04T17:03:05Z | |
| dc.date.available | 2022-09-04T17:03:05Z | |
| dc.date.issued | 2022-08-22 | |
| dc.format.extent | Xiii+50 | |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/116503 | |
| dc.identifier.urn | URN:NBN:fi:aalto-202209045314 | |
| dc.language.iso | en | en |
| dc.location | P1 | fi |
| dc.programme | Master's Programme in ICT Innovation | fi |
| dc.programme.major | Autonomous Systems | fi |
| dc.programme.mcode | ELEC3055 | fi |
| dc.subject.keyword | deep reinforcement learning | en |
| dc.subject.keyword | building control | en |
| dc.subject.keyword | building energy management | en |
| dc.subject.keyword | optimization | en |
| dc.subject.keyword | thermal discomfort | en |
| dc.subject.keyword | operational cost | en |
| dc.title | Deep reinforcement learning for building control | en |
| dc.type | G2 Pro gradu, diplomityö | fi |
| dc.type.ontasot | Master's thesis | en |
| dc.type.ontasot | Diplomityö | fi |
| local.aalto.electroniconly | yes | |
| local.aalto.openaccess | no |