LIDAR-assisted radial basis function neural network optimization for wind turbines-Reference-Cited by-同舟云学术

LIDAR-assisted radial basis function neural network optimization for wind turbines

Published:2017-08-29 Issue:2 Volume:13 Page:195-200
ISSN:1931-4973
Container-title:IEEJ Transactions on Electrical and Electronic Engineering
language:en
Short-container-title:IEEJ Trans Elec Electron Eng

Author:

Han Bing¹,Zhou Lawu²,Zhang Zhiwen¹

Affiliation:

1. College of Electrical and Information Engineering; Hunan University; Changsha 410082 Hunan Province China

2. College of Electrical and Information Engineering; Changsha University of Science and Technology; Changsha 410114 Hunan Province China

Funder

National Natural Science Foundation of China

Chinese Scholarship Council

Hunan Provincial Innovation Foundation for Postgraduates

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference21 articles.

1. Wind tunnel testing of subspace predictive repetitive control for variable pitch wind turbines;Sachin;IEEE Transactions on Control Systems Technology,2015

2. Research on individual pitch control below rated wind speed;Han;IEEJ Transactions on Electrical and Electronic Engineering,2017

3. Wind speed and rotor position sensorless control for direct-drive PMG wind turbines;Qiao;IEEE Transactions on Industry Applications,2012

4. An investigation of variable power collective pitch control for load mitigation of floating offshore wind turbines;Matthew;Wind Energy,2013

5. Optimization of the wind turbine layout and transmission system planning for a large-scale offshore wind farm by AI technology;Wu;IEEE Transactions on Industry Applications,2014

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