EALSTM-QR: Interval wind-power prediction model based on numerical weather prediction and deep learning

Title
EALSTM-QR: Interval wind-power prediction model based on numerical weather prediction and deep learning
Authors
Keywords
Wind-power prediction, EALSTM-QR, Bidirectional LSTM, Quantile regression
Journal
ENERGY
Volume 220, Issue -, Pages 119692
Publisher
Elsevier BV
Online
2020-12-25
DOI
10.1016/j.energy.2020.119692

Ask authors/readers for more resources

Reprint

Contact the author

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

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started