Wind Power Generation Capacity Evaluation Based on Correlation Analysis of Adjacent Wind Farms-Reference-Cited by-同舟云学术

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Wind Power Generation Capacity Evaluation Based on Correlation Analysis of Adjacent Wind Farms

Published:2021-12-23 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Sustainable Power and Energy Conference (iSPEC)
language:
Short-container-title:

Author:

Sun Shuxin¹,Qiao Ying¹,Lu Zongxiang¹,Ma Yanhong²

Affiliation:

1. Tsinghua University,State Key Lab of Control and Simulation of Power Systems and Generation Equipments,Dept. of Electrical Engineering,Beijing,China,100084

2. State Grid Gansu Electric Power Company,Wind Power Technology Center,Lanzhou,China,730050

Funder

State Grid Corporation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9735429/9735430/09735915.pdf?arnumber=9735915

Reference15 articles.

1. Neural networks and machine learning. Trans;haykin,2009

2. Wind power utilization hours influence factor contribution analyzing method, involves calculating contribution degree of utilization hours based on influence factor to perform wind power utilization hours factor contribution analysis;sun;CN110598994-A[P],2019

3. Sensitivity analysis of PCA method for wind ramp event detection

4. Optimization of parameters affecting the performance of wind turbine blade using grey relational analysis

5. Short term wind power forecasting considering historical data entropy association information mining [J];kunpeng;Power System Automation,2017

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