Incorporating air density into a Gaussian process wind turbine power curve model for improving fitting accuracy
出版年份 2018 全文链接
标题
Incorporating air density into a Gaussian process wind turbine power curve model for improving fitting accuracy
作者
关键词
-
出版物
WIND ENERGY
Volume 22, Issue 2, Pages 302-315
出版商
Wiley
发表日期
2018-10-22
DOI
10.1002/we.2285
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Power load probability density forecasting using Gaussian process quantile regression
- (2018) Yandong Yang et al. APPLIED ENERGY
- An analysis-forecast system for uncertainty modeling of wind speed: A case study of large-scale wind farms
- (2018) Jianzhou Wang et al. APPLIED ENERGY
- Assessing compressibility effects on the performance of large horizontal-axis wind turbines
- (2018) Chi Yan et al. APPLIED ENERGY
- SCADA-based wind turbine anomaly detection using Gaussian process models for wind turbine condition monitoring purposes
- (2018) Ravi Kumar Pandit et al. IET Renewable Power Generation
- Development of an enhanced parametric model for wind turbine power curve
- (2016) Ehsan Taslimi-Renani et al. APPLIED ENERGY
- Wind turbines abnormality detection through analysis of wind farm power curves
- (2016) Shuangyuan Wang et al. MEASUREMENT
- Wind turbine performance degradation assessment based on a novel similarity metric for machine performance curves
- (2016) Xiaodong Jia et al. RENEWABLE ENERGY
- Wind turbine power curve modelling using artificial neural network
- (2016) Francis Pelletier et al. RENEWABLE ENERGY
- Hybrid Probabilistic Wind Power Forecasting Using Temporally Local Gaussian Process
- (2016) Juan Yan et al. IEEE Transactions on Sustainable Energy
- Wind power curve modeling in complex terrain using statistical models
- (2015) V. Bulaevskaya et al. Journal of Renewable and Sustainable Energy
- Condition Monitoring of Wind Power System With Nonparametric Regression Analysis
- (2014) IEEE TRANSACTIONS ON ENERGY CONVERSION
- Effect of air density on the performance of a small wind turbine blade: A case study in Iran
- (2014) Abolfazl Pourrajabian et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Wind Turbine Power Curve Modeling Using Advanced Parametric and Nonparametric Methods
- (2014) Shahab Shokrzadeh et al. IEEE Transactions on Sustainable Energy
- Weighted error functions in artificial neural networks for improved wind energy potential estimation
- (2013) Sungmoon Jung et al. APPLIED ENERGY
- Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering
- (2013) Simo Sarkka et al. IEEE SIGNAL PROCESSING MAGAZINE
- Wind Power Forecasts Using Gaussian Processes and Numerical Weather Prediction
- (2013) Niya Chen et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A comprehensive review on wind turbine power curve modeling techniques
- (2013) M. Lydia et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Monitoring Wind Farms With Performance Curves
- (2012) Andrew Kusiak et al. IEEE Transactions on Sustainable Energy
- Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection
- (2010) Meik Schlechtingen et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Wind turbine power curve estimation based on cluster center fuzzy logic modeling
- (2008) Taner Üstüntaş et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Models for monitoring wind farm power
- (2008) Andrew Kusiak et al. RENEWABLE ENERGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search