Future prospects research on offshore wind power scale in China based on signal decomposition and extreme learning machine optimized by principal component analysis-Reference-Cited by-同舟云学术

Future prospects research on offshore wind power scale in China based on signal decomposition and extreme learning machine optimized by principal component analysis

Published:2020-07-06 Issue:10 Volume:8 Page:3514-3530
ISSN:2050-0505
Container-title:Energy Science & Engineering
language:en
Short-container-title:Energy Sci Eng

Author:

Liu Dunnan¹²,Liu Mingguang¹²,Xu Xiaofeng¹²,Wang Jiani¹²,Fan Chenkai¹²,Li Xiaoyu¹²,Han Jinshan¹²

Affiliation:

1. School of Economics and Management North China Electric Power University Beijing China

2. State Key Lab Alternate Elect Power System Renewable North China Electric Power University Beijing China

Funder

The 2018 Key Projects of Philosophy and Social Sciences Research, Ministry of Education

China's Green Power Development Research Introduction Center for Discipline Innovation

Publisher

Wiley

Subject

General Energy,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.761

Reference44 articles.

1. Application of F‐ANP in risk evaluation of offshore wind power projects, 2019;Sun Y;J Liaoning Tech Univ (Nat Sci),2011

2. Investigation on Optimization Design of Offshore Wind Turbine Blades based on Particle Swarm Optimization

3. Minimum foundation size and spacing for jacket supported offshore wind turbines considering dynamic design criteria

4. Natural hazard vulnerability quantification of offshore wind turbine in shallow water

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