"On the Use of Off-the-Shelf Machine Learning Techniques to Predict Energy ..."

Francisco Natividad et al. (2016)

> Home

Details and statistics

DOI: 10.1007/978-3-319-54229-4_8

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-21

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/amec/NatividadFYC16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/amec/NatividadFYC16
Francisco Natividad, Russell Y. Folk, William Yeoh, Huiping Cao:
On the Use of Off-the-Shelf Machine Learning Techniques to Predict Energy Demands of Power TAC Consumers. AMEC/TADA 2016: 112-126

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.