Predicting the Performance of Offshore Wind Farm Using Artificial Intelligence-Reference-Cited by-同舟云学术

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Predicting the Performance of Offshore Wind Farm Using Artificial Intelligence

Published:2022-10-26 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference and Utility Exhibition on Energy, Environment and Climate Change (ICUE)
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Author:

R Veena¹,I Petra M¹,V Femin¹,Murugathas Thanihaichelvan²,A Shereen Siddhara³,S Sheik Mohammed⁴,Mohandas Prabu⁵

Affiliation:

1. Faculty of Integrated Technologies, Universiti Brunei Darussalam,Brunei Darussalam

2. University of Jaffna,Faculty of Science,Department of Physics,Jaffna,Sri Lanka,40000

3. inQbe Innovations Pvt. Ltd, Kaloor,Emakulam,India

4. Universiti Teknologi Brunei,Faculty of Engineering,Brunei Darussalam

5. National Institute of Technology,Intelligent Computing Lab,Kerala,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10113471/10113461/10113500.pdf?arnumber=10113500

Reference33 articles.

1. Study on the physical approach to wind power prediction;feng;Proceedings of the CSEE,0

2. Summarization of modeling and prediction of wind power generation;wang;Power system protection and control,2009

3. Case studies in the data mining approach to health information analysis, Knowledge Discovery and Data Mining;lloyd-williams;IEE Colloquium on IET,1998

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