Wind Turbine Unit Power Prediction Based on Wavelet Neural Network Optimized by Brain Storm Optimization Algorithm-Reference-Cited by-同舟云学术

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Wind Turbine Unit Power Prediction Based on Wavelet Neural Network Optimized by Brain Storm Optimization Algorithm

Published:2018-05 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)
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Author:

Guo Qiang,Xue Zhiwei,Zhang Longying,Lu Xiaohui,Yin Yue,Huang Congzhi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8479537/8515899/08515922.pdf?arnumber=8515922

Cited by 5 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

1. Study of Current and Voltage Stability as a Result of Inertia Settings in Wind Power Plants;2023 International Seminar on Application for Technology of Information and Communication (iSemantic);2023-09-16

2. Analysis of Rotation Speed and Output Power Stability as a Result of Inertia Settings in Wind Turbines;2023 10th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE);2023-08-31

3. Effect of changes in wind turbine inertia on the stability of wind power plant under dynamic load conditions;PROCEEDINGS OF 2ND INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY (I-CoRE 2021);2023

4. Robust and optimal utilisation of power in a grid-interfaced wind energy conversion system with a GWOA-based efficient controller;2022 IEEE 19th India Council International Conference (INDICON);2022-11-24

5. 3D UAV Path Planning Using Global-Best Brain Storm Optimization Algorithm and Artificial Potential Field;Intelligent Robotics and Applications;2019

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