Long-Term Wind Power Forecasting Using Tree-Based Learning Algorithms-Reference-Cited by-同舟云学术

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Long-Term Wind Power Forecasting Using Tree-Based Learning Algorithms

Published:2020 Issue: Volume:8 Page:151511-151522
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ahmadi Amirhossein^ORCID,Nabipour Mojtaba^ORCID,Mohammadi-Ivatloo Behnam^ORCID,Amani Ali Moradi^ORCID,Rho Seungmin^ORCID,Piran Md. Jalil^ORCID

Funder

National Research Foundation of Korea (NRF) grant funded by the Korean Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09169867.pdf?arnumber=9169867

Cited by 86 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Ultra-Short-Term Wind Power Prediction Based on the ZS-DT-PatchTST Combined Model;Energies;2024-08-29

3. Medium to Long Term Wind Power Prediction Based on Improved mRMR Algorithm and GWO-LSTM Algorithm;2024 6th International Conference on Energy Systems and Electrical Power (ICESEP);2024-06-21

4. Design, Assessment, and Modeling of Multi-Input Single-Output Neural Network Types for the Output Power Estimation in Wind Turbine Farms;Automation;2024-06-20

5. Optimization of Seasonal Wind Energy Forecasts with PSO Algorithm;2024 6th Global Power, Energy and Communication Conference (GPECOM);2024-06-04

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