"Lessons Learned from Data-Driven Building Control Experiments: Contrasting ..."

Loris Di Natale et al. (2022)

> Home

Details and statistics

DOI: 10.1109/CDC51059.2022.9992445

access: closed

type: Conference or Workshop Paper

metadata version: 2023-01-18

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cdc/NataleLMSJ22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cdc/NataleLMSJ22
Loris Di Natale, Ying Zhao Lian, Emilio Tanowe Maddalena, Jicheng Shi, Colin N. Jones:
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning. CDC 2022: 1111-1117

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.