Modeling for chaotic time series based on linear and nonlinear framework: Application to wind speed forecasting

Title
Modeling for chaotic time series based on linear and nonlinear framework: Application to wind speed forecasting
Authors
Keywords
Wind speed, Data characteristics, Linear and nonlinear, Chaotic time series, Phase space reconstruction
Journal
ENERGY
Volume 173, Issue -, Pages 468-482
Publisher
Elsevier BV
Online
2019-02-14
DOI
10.1016/j.energy.2019.02.080

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More