A novel data-driven deep learning approach for wind turbine power curve modeling

An abnormal wind turbine data cleaning algorithm based on color space conversion and image feature detection

(2022) Huan Long et al.   APPLIED ENERGY

Detection and classification of faults in photovoltaic arrays using a 3D convolutional neural network

(2022) Ying-Yi Hong et al.   ENERGY

Deep non-crossing probabilistic wind speed forecasting with multi-scale features

(2022) Runmin Zou et al.   ENERGY CONVERSION AND MANAGEMENT

Recent advances on loss functions in deep learning for computer vision

(2022) Yingjie Tian et al.   NEUROCOMPUTING

CCNet: CNN model with channel attention and convolutional pooling mechanism for spatial image steganalysis

(2022) Tong Fu et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Considerations on environmental, economic, and energy impacts of wind energy generation: Projections towards sustainability initiatives

(2022) Goodluck Msigwa et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Probabilistic estimation model of power curve to enhance power output forecasting of wind generating resources

(2021) Eunjeong Yun et al.   ENERGY

Wind speed frequency distribution modeling and wind energy resource assessment based on polynomial regression model

(2021) Lingzhi Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Box plots: A simple graphical tool for visualizing overfitting in peak fitting as demonstrated with X-ray photoelectron spectroscopy data

(2021) Behnam Moeini et al.   JOURNAL OF ELECTRON SPECTROSCOPY AND RELATED PHENOMENA

Wind turbine power curve modeling using an asymmetric error characteristic-based loss function and a hybrid intelligent optimizer

(2021) Runmin Zou et al.   APPLIED ENERGY

Ensemble offshore Wind Turbine Power Curve modelling – An integration of Isolation Forest, fast Radial Basis Function Neural Network, and metaheuristic algorithm

(2021) Tenghui Li et al.   ENERGY

Delving deep into spatial pooling for squeeze-and-excitation networks

(2021) Xin Jin et al.   PATTERN RECOGNITION

Anomaly detection in wind turbine SCADA data for power curve cleaning

(2021) Rory Morrison et al.   RENEWABLE ENERGY

A Multilevel Modeling Approach Towards Wind Farm Aggregated Power Curve

(2021) Mehrdad Mehrjoo et al.   IEEE Transactions on Sustainable Energy

Wind Power Curve Modeling With Hybrid Copula and Grey Wolf Optimization

(2021) Danxiang Wei et al.   IEEE Transactions on Sustainable Energy

An insulator self-blast detection method based on YOLOv4 with aerial images

(2021) Hui He et al.   Energy Reports

Wind Turbine Power Curve Monitoring Based on Environmental and Operational Data

(2021) Silvia Cascianelli et al.   IEEE Transactions on Industrial Informatics

One-dimensional convolutional neural networks for acoustic waste sorting

(2020) Gang Lu et al.   JOURNAL OF CLEANER PRODUCTION

Wind turbine power curve modeling based on interval extreme probability density for the integration of renewable energies and electric vehicles

(2020) Shuang Han et al.   RENEWABLE ENERGY

HCNN-PSI: A hybrid CNN with partial semantic information for space target recognition

(2020) Xi Yang et al.   PATTERN RECOGNITION

Toward hybrid approaches for wind turbine power curve modeling with balanced loss functions and local weighting schemes

(2020) Mehrdad Mehrjoo et al.   ENERGY

Wind Power Curve Data Cleaning by Image Thresholding Based on Class Uncertainty and Shape Dissimilarity

(2020) Guoyuan Liang et al.   IEEE Transactions on Sustainable Energy

Wind Turbine Power Curve Modeling with a Hybrid Machine Learning Technique

(2019) Shenglei Pei et al.   Applied Sciences-Basel

Approaches to wind power curve modeling: A review and discussion

(2019) Yun Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Image-Based Abnormal Data Detection and Cleaning Algorithm via Wind Power Curve

(2019) Huan Long et al.   IEEE Transactions on Sustainable Energy

Comparison of logistic functions for modeling wind turbine power curves

(2018) Daniel Villanueva et al.   ELECTRIC POWER SYSTEMS RESEARCH

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

(2018) Guoqian Jiang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Wind turbine power curve modeling based on Gaussian Processes and Artificial Neural Networks

(2018) Bartolomé Manobel et al.   RENEWABLE ENERGY

Wind turbine power curve modeling using maximum likelihood estimation method

(2018) Seokho Seo et al.   RENEWABLE ENERGY

Wind Turbine Power Curve Modeling and Monitoring With Gaussian Process and SPRT

(2018) Peng Guo et al.   IEEE Transactions on Sustainable Energy

Development of an enhanced parametric model for wind turbine power curve

(2016) Ehsan Taslimi-Renani et al.   APPLIED ENERGY

Power Curve Estimation With Multivariate Environmental Factors for Inland and Offshore Wind Farms

(2015) Giwhyun Lee et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Wind Turbine Power Curve Modeling Using Advanced Parametric and Nonparametric Methods

(2014) Shahab Shokrzadeh et al.   IEEE Transactions on Sustainable Energy

A comprehensive review on wind turbine power curve modeling techniques

(2013) M. Lydia et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Advanced Algorithms for Wind Turbine Power Curve Modeling

(2013) M. Lydia et al.   IEEE Transactions on Sustainable Energy

Using Data-Mining Approaches for Wind Turbine Power Curve Monitoring: A Comparative Study

(2013) Meik Schlechtingen et al.   IEEE Transactions on Sustainable Energy

Robust filtering for the characterization of wind turbines: Improving its operation and maintenance

(2009) E. Sainz et al.   ENERGY CONVERSION AND MANAGEMENT

A novel hybrid (wind–photovoltaic) system sizing procedure

(2009) Fatih O. Hocaoğlu et al.   SOLAR ENERGY

Models for monitoring wind farm power

(2008) Andrew Kusiak et al.   RENEWABLE ENERGY