Incorporating air density into a Gaussian process wind turbine power curve model for improving fitting accuracy

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