Learning Heterogeneous Features Jointly: A Deep End-to-End Framework for Multi-Step Short-Term Wind Power Prediction

Title
Learning Heterogeneous Features Jointly: A Deep End-to-End Framework for Multi-Step Short-Term Wind Power Prediction
Authors
Keywords
-
Journal
IEEE Transactions on Sustainable Energy
Volume 11, Issue 3, Pages 1761-1772
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2019-09-11
DOI
10.1109/tste.2019.2940590

Ask authors/readers for more resources

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

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