Energy capture efficiency enhancement of wind turbines via stochastic model predictive yaw control based on intelligent scenarios generation-Reference-Cited by-同舟云学术

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Energy capture efficiency enhancement of wind turbines via stochastic model predictive yaw control based on intelligent scenarios generation

Published:2022-04 Issue: Volume:312 Page:118773
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Song Dongran,Li Ziqun,Wang Lei,Jin Fangjun,Huang Chaoneng,Xia E.,Rizk-Allah Rizk M.,Yang Jian,Su Mei,Joo Young Hoon

Publisher

Elsevier BV

Subject

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

Reference50 articles.

1. GWEC. Global Wind Report 2021. Global Wind Energy Council, Europe; 2021.

2. Knowledge structure and research progress in wind power generation (WPG) from 2005 to 2020 using CiteSpace based scientometric analysis;Azam;J Clean Prod,2021

3. Optimised yaw model for adaptive wind direction characteristic based on a data-driven approach;Dong;IET Renew Power Gener,2021

4. Yawing and performance of an offshore wind farm;Friis Pedersen;(in eng), Proceedings,2011

5. Theory-guided deep-learning for electrical load forecasting (TgDLF) via ensemble long short-term memory;Chen;Adv Appl Energy,2021

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