"Energy Time-Series Features for Emerging Applications on the Basis of ..."

Michael Vollmer et al. (2019)

> Home

Details and statistics

DOI: 10.1145/3307772.3331022

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/eenergy/VollmerETBKB19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/eenergy/VollmerETBKB19
Michael Vollmer, Adrian Englhardt, Holger Trittenbach, Pawel Bielski, Shahab Karrari, Klemens Böhm:
Energy Time-Series Features for Emerging Applications on the Basis of Human-Readable Machine Descriptions. e-Energy 2019: 474-481

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.