Wind speed prediction research with EMD-BP based on Lorenz disturbance Cover

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Wind speed prediction research with EMD-BP based on Lorenz disturbance

Journal of Electrical Engineering

Volume 70 (2019): Issue 3 (June 2019)

By: Yagang Zhang, Guifang Pan, Chenhong Zhang and Yuan Zhao

Open Access

|Jul 2019

Authors

Yagang Zhang

yagangzhang@ncepu.edu.cn

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China

Interdisciplinary Mathematics Institute, University of South Carolina, Columbia

Guifang Pan

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China

Chenhong Zhang

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China

Yuan Zhao

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China

DOI: https://doi.org/10.2478/jee-2019-0028 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632

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Language: English

Page range: 198 - 207

Submitted on: Jan 2, 2019

|

Published on: Jul 18, 2019

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Publication frequency: 6 issues per year

Keywords:

short-term wind speed prediction,

renewable energy,

empirical mode decomposition,

BP neural network

Related subjects:

Introductions and overviews,

Engineering, other

© 2019 Yagang Zhang, Guifang Pan, Chenhong Zhang, Yuan Zhao, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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