Prediction of wind power generation base on neural network in consideration of the fault time
Author:
Affiliation:
1. Shanghai Electric Power Design Institute Co., Ltd., No. 550, Xujiahui Road, 23rd Floor Shanghai Huangpu District 200090 China
Publisher
Wiley
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.22853
Reference39 articles.
1. Short term wind speed estimation in Saudi Arabia
2. A novel hybrid approach for wind speed prediction
3. PorterK RogersJ. Status of centralized wind power forecasting in North America. National Renewable Energy Laboratory Golden CO Technical Report NREL/SR‐550‐47853 2010.
4. ZhaoSZS ZhaoJZJ ZhaoGZG ZhangWZW GuoZGZ. Effective wind power density prediction based on neural networks.2010 International Conference on Multimedia Technology2010.
5. Neural network based hybrid computing model for wind speed prediction
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