"Approach for short-term wind power prediction via kernel principal ..."

Zhongda Tian (2021)

> Home

Details and statistics

DOI: 10.1177/01423312211046421

access: closed

type: Journal Article

metadata version: 2023-11-13

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tinstmc/Tian21a
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tinstmc/Tian21a
Zhongda Tian:
Approach for short-term wind power prediction via kernel principal component analysis and echo state network optimized by improved particle swarm optimization algorithm. Trans. Inst. Meas. Control 43(16) (2021)

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.