Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future

Smart Society and Artificial Intelligence: Big Data Scheduling and the Global Standard Method Applied to Smart Maintenance

(2020) Ruben Foresti et al.   Engineering

A Survey of Accelerator Architectures for Deep Neural Networks

(2020) Yiran Chen et al.   Engineering

Multi-Step Short-Term Wind Speed Prediction Using a Residual Dilated Causal Convolutional Network with Nonlinear Attention

(2020) Kumar Shivam et al.   Energies

Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines

(2020) Joyjit Chatterjee et al.   WIND ENERGY

Evaluation of wind power forecasts—An up‐to‐date view

(2020) Jakob W. Messner et al.   WIND ENERGY

Fault Diagnosis for Wind Turbines Based on ReliefF and eXtreme Gradient Boosting

(2020) Zidong Wu et al.   Applied Sciences-Basel

Using SCADA Data for Wind Turbine Condition Monitoring: A Systematic Literature Review

(2020) Jorge Maldonado-Correa et al.   Energies

Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network

(2020) Zi Lin et al.   ENERGY

Performance degradation assessment of wind turbine gearbox based on maximum mean discrepancy and multi-sensor transfer learning

(2020) Yubin Pan et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Wind Farm and Resource Datasets: A Comprehensive Survey and Overview

(2020) Diogo Menezes et al.   Energies

Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis

(2020) Davood Karimi et al.   MEDICAL IMAGE ANALYSIS

Towards explainable deep neural networks (xDNN)

(2020) Plamen Angelov et al.   NEURAL NETWORKS

Spatio-temporal fusion neural network for multi-class fault diagnosis of wind turbines based on SCADA data

(2020) Yanhua Pang et al.   RENEWABLE ENERGY

Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey

(2019) Giang Nguyen et al.   ARTIFICIAL INTELLIGENCE REVIEW

Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses

(2019) Kevin Leahy et al.   Energies

Maintenance Models Applied to Wind Turbines. A Comprehensive Overview

(2019) Yuri Merizalde et al.   Energies

Review of Artificial Intelligence Adversarial Attack and Defense Technologies

(2019) Shilin Qiu et al.   Applied Sciences-Basel

Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform

(2019) Yao Liu et al.   Applied Sciences-Basel

An Imbalance Fault Detection Algorithm for Variable-Speed Wind Turbines: A Deep Learning Approach

(2019) Jianjun Chen et al.   Energies

Deep Learning With Edge Computing: A Review

(2019) Jiasi Chen et al.   PROCEEDINGS OF THE IEEE

A review of applications of artificial intelligent algorithms in wind farms

(2019) Yirui Wang et al.   ARTIFICIAL INTELLIGENCE REVIEW

Gearbox Fault Prediction of Wind Turbines Based on a Stacking Model and Change-Point Detection

(2019) Tongke Yuan et al.   Energies

Performance enhancement of the artificial neural network–based reinforcement learning for wind turbine yaw control

(2019) Aitor Saenz‐Aguirre et al.   WIND ENERGY

A Hybrid Short-Term Load Forecasting Framework with an Attention-Based Encoder–Decoder Network Based on Seasonal and Trend Adjustment

(2019) Zhaorui Meng et al.   Energies

Condition monitoring of wind turbines based on spatio-temporal fusion of SCADA data by convolutional neural networks and gated recurrent units

(2019) Ziqian Kong et al.   RENEWABLE ENERGY

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

A survey of artificial neural network in wind energy systems

(2018) Alberto Pliego Marugán et al.   APPLIED ENERGY

Condition based maintenance optimization for offshore wind turbine considering opportunities based on neural network approach

(2018) Yang Lu et al.   APPLIED OCEAN RESEARCH

Wind Turbine Fault Detection Using a Denoising Autoencoder With Temporal Information

(2018) Guoqian Jiang et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Prognostic techniques applied to maintenance of wind turbines: a concise and specific review

(2018) Gustavo de Novaes Pires Leite et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A Combined Algorithm for Cleaning Abnormal Data of Wind Turbine Power Curve Based on Change Point Grouping Algorithm and Quartile Algorithm

(2018) Xiaojun Shen et al.   IEEE Transactions on Sustainable Energy

Performance Assessment of Wind Turbines: Data-Derived Quantitative Metrics

(2018) Yusen He et al.   IEEE Transactions on Sustainable Energy

A Survey to Predict the Trend of AI-able Server Evolution in the Cloud

(2018) Dazhong He et al.   IEEE Access

A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost

(2018) Dahai Zhang et al.   IEEE Access

Layer-Centric Memory Reuse and Data Migration for Extreme-Scale Deep Learning on Many-Core Architectures

(2018) Hai Jin et al.   ACM Transactions on Architecture and Code Optimization

Deep neural network-based wind speed forecasting and fatigue analysis of a large composite wind turbine blade

(2018) Pravin A Kulkarni et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Deep Learning for fault detection in wind turbines

(2018) Georg Helbing et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Real-time condition monitoring and fault detection of components based on machine-learning reconstruction model

(2018) Chunzhen Yang et al.   RENEWABLE ENERGY

Machine learning methods for wind turbine condition monitoring: A review

(2018) Adrian Stetco et al.   RENEWABLE ENERGY

Using SCADA data for wind turbine condition monitoring – a review

(2017) Jannis Tautz-Weinert et al.   IET Renewable Power Generation

bibliometrix : An R-tool for comprehensive science mapping analysis

(2017) Massimo Aria et al.   Journal of Informetrics

Variable speed wind turbine controller adaptation by reinforcement learning

(2016) Borja Fernandez-Gauna et al.   INTEGRATED COMPUTER-AIDED ENGINEERING

Renewables: Share data on wind energy

(2016) Andrew Kusiak   NATURE

Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets

(2016) José A. Sáez et al.   PATTERN RECOGNITION

Transfer learning for short-term wind speed prediction with deep neural networks

(2016) Qinghua Hu et al.   RENEWABLE ENERGY

A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data

(2016) Markus Goldstein et al.   PLoS One

Missing data imputation by K nearest neighbours based on grey relational structure and mutual information

(2015) Ruilin Pan et al.   APPLIED INTELLIGENCE

Self-organizing maps for imputation of missing data in incomplete data matrices

(2015) Laura Folguera et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Early Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by Maximum Correlated Kurtosis Deconvolution

(2015) Feng Jia et al.   SENSORS

A review of damage detection methods for wind turbine blades

(2015) Dongsheng Li et al.   Smart Materials and Structures

Support-Vector-Machine-Enhanced Markov Model for Short-Term Wind Power Forecast

(2015) Lei Yang et al.   IEEE Transactions on Sustainable Energy

The vibration analysis of wind turbine blade–cabin–tower coupling system

(2013) W.Y. Liu   ENGINEERING STRUCTURES

Using machine learning to predict wind turbine power output

(2013) A Clifton et al.   Environmental Research Letters

Optimization of the Wind Turbine Layout and Transmission System Planning for a Large-Scale Offshore WindFarm by AI Technology

(2013) Yuan-Kang Wu et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Wind Power Forecasts Using Gaussian Processes and Numerical Weather Prediction

(2013) Niya Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Effect of winds in a mountain pass on turbine performance

(2013) A. Clifton et al.   WIND ENERGY

EMD and Wavelet Transform Based Fault Diagnosis for Wind Turbine Gear Box

(2013) Qingyu Yang et al.   Advances in Mechanical Engineering

Efficient data filtering for wind energy assessment

(2012) J.J. Melero et al.   IET Renewable Power Generation

Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation

(2012) Zhipeng Feng et al.   RENEWABLE ENERGY

Wind turbine condition monitoring: technical and commercial challenges

(2012) Wenxian Yang et al.   WIND ENERGY

Bivariate empirical mode decomposition and its contribution to wind turbine condition monitoring

(2011) Wenxian Yang et al.   JOURNAL OF SOUND AND VIBRATION

The wind energy (r)evolution: A short review of a long history

(2011) John K. Kaldellis et al.   RENEWABLE ENERGY

Missing data imputation using statistical and machine learning methods in a real breast cancer problem

(2010) José M. Jerez et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

RAMOBoost: Ranked Minority Oversampling in Boosting

(2010) Sheng Chen et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

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

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

What can natural language processing do for clinical decision support?

(2009) Dina Demner-Fushman et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Online wind turbine fault detection through automated SCADA data analysis

(2009) A. Zaher et al.   WIND ENERGY