Modeling and performance evaluation of wind turbine based on ant colony optimization-extreme learning machine-Reference-Cited by-同舟云学术

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Modeling and performance evaluation of wind turbine based on ant colony optimization-extreme learning machine

Published:2020-09 Issue: Volume:94 Page:106476
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Wen Xiaoqiang^ORCID

Funder

Jilin outstanding young talents training program, PR China

Jilin province department of education, PR China

Key scientific and technological project of Jilin province of China

NSFC, PR China

Publisher

Elsevier BV

Subject

Software

Reference96 articles.

1. Review of performance optimization techniques applied to wind turbines;Chehouri;Appl. Energy,2015

2. A generalized model for wind turbine anomaly identification based on SCADA data;Sun;Appl. Energy,2016

3. Review of energy storage system for wind power integration support;Zhao;Appl. Energy,2015

4. An inter type-2 FCR algorithm based T-S fuzzy model for short-term wind power interval prediction;Zou;IEEE Trans. Ind. Inf.,2019

5. Robust short-term prediction of wind power generation under uncertainty via statistical interpretation of multiple forecasting models;Korprasertsak;Energy,2019

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