Using Gaussian process theory for wind turbine power curve analysis with emphasis on the confidence intervals-Reference-Cited by-同舟云学术

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Using Gaussian process theory for wind turbine power curve analysis with emphasis on the confidence intervals

Published:2017-06 Issue: Volume: Page:
ISSN:
Container-title:2017 6th International Conference on Clean Electrical Power (ICCEP)
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Author:

Pandit Ravi Kumar,Infield David

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7999339/8004721/08004774.pdf?arnumber=8004774

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Gaussian Processes for Signal Processing and Representation in Control Engineering;Applied Sciences;2022-05-13

2. Wind Turbine Power Curve Modelling with Logistic Functions Based on Quantile Regression;Applied Sciences;2021-03-29

3. Gaussian process power curve models incorporating wind turbine operational variables;Energy Reports;2020-11

4. Data‐driven weather forecasting models performance comparison for improving offshore wind turbine availability and maintenance;IET Renewable Power Generation;2020-09-14

5. Condition-Based Maintenance for Offshore Wind Turbines Based on Support Vector Machine;Energies;2020-07-08

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