Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization-Reference-Cited by-同舟云学术

Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization

Published:2022-04 Issue: Volume:311 Page:118674
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Lv Sheng-Xiang,Wang Lin^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference101 articles.

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3. U.S. Energy Information Administration. Available from: https://www.eia.gov/renewable/data.php#wind.

4. A novel combined model based on echo state network for multi-step ahead wind speed forecasting: A case study of NREL;Chen;Energy Convers Manage,2019

5. Selection of time window for wind power ramp prediction based on risk model;Zha;Energy Convers Manage,2016

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