"A Comparison of Automated Machine Learning Tools for Predicting Energy ..."

Daniela Soares et al. (2023)

> Home

Details and statistics

DOI: 10.1007/978-3-031-49008-8_25

access: closed

type: Conference or Workshop Paper

metadata version: 2024-05-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/epia/SoaresPCG23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/epia/SoaresPCG23
Daniela Soares, Pedro José Pereira, Paulo Cortez, Carlos Gonçalves:
A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities. EPIA (1) 2023: 311-322

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.