Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Short-term predictions of multiple wind turbine power outputs based on deep neural networks with transfer learning
Xin Liu, Zheming Cao, Zijun Zhang
Energy (2020) Vol. 217, pp. 119356-119356
Closed Access | Times Cited: 61

Showing 26-50 of 61 citing articles:

Short-term wind power probabilistic forecasting using a new neural computing approach: GMC-DeepNN-PF
Qianchao Wang, Lei Pan, Haitao Wang, et al.
Applied Soft Computing (2022) Vol. 126, pp. 109247-109247
Closed Access | Times Cited: 13
Adjustable piecewise regression strategy based wind turbine power forecasting for probabilistic condition monitoring
Jing Hua, Chunhui Zhao
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102013-102013
Closed Access | Times Cited: 12
Fault detection of offshore wind turbine gearboxes based on deep adaptive networks via considering Spatio-temporal fusion
Yongchao Zhu, Caichao Zhu, Jianjun Tan, et al.
Renewable Energy (2022) Vol. 200, pp. 1023-1036
Closed Access | Times Cited: 11
Improved Wind Power Generation Prediction through Novel Linear Regression over Ridge Regression
P. Deepak, G. Ramkumar, G. Sajiv
(2024), pp. 46-50
Closed Access | Times Cited: 2
Prediction of wind power ramp events via a self-attention based deep learning approach
Jie Li, Fanxi Meng, Zichen Zhang, et al.
Energy Reports (2024) Vol. 12, pp. 1488-1502
Open Access | Times Cited: 2
LSTM-GCN based multidimensional parameter relationship analysis and prediction framework for system level experimental bench
Linjun Yang, Zhuang Miao, Tong Li, et al.
Annals of Nuclear Energy (2024) Vol. 210, pp. 110890-110890
Closed Access | Times Cited: 2
Towards machine learning applications for structural load and power assessment of wind turbine: An engineering perspective
Qiulei Wang, Junjie Hu, Shanghui Yang, et al.
Energy Conversion and Management (2024) Vol. 324, pp. 119275-119275
Closed Access | Times Cited: 2
A novel hybrid wind speed interval prediction model based on mode decomposition and gated recursive neural network
Haiyan Xu, Yuqing Chang, Yong Zhao, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 58, pp. 87097-87113
Closed Access | Times Cited: 8
An Integration of Genetic Feature Selector, Histogram-Based Outlier Score, and Deep Learning for Wind Turbine Power Prediction
Parastou Fahim, Nima Vaezi, Amin Shahraki, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2022) Vol. 44, Iss. 4, pp. 9342-9365
Closed Access | Times Cited: 8
Cost and capacity optimization of regional wind-hydrogen integrated energy system
Xinghua Liu, Yübo Wang, Zhongbao Wei, et al.
International Journal of Hydrogen Energy (2023) Vol. 49, pp. 571-585
Closed Access | Times Cited: 4
MTTLA‐DLW: Multi‐task TCN‐Bi‐LSTM transfer learning approach with dynamic loss weights based on feature correlations of the training samples for short‐term wind power prediction
Jifeng Song, Xiaosheng Peng, Jiajiong Song, et al.
Wind Energy (2024) Vol. 27, Iss. 7, pp. 733-744
Open Access | Times Cited: 1
A novel transfer learning strategy for wind power prediction based on TimesNet-GRU architecture
Dan Li, Yue Hu, Baohua Yang, et al.
Journal of Renewable and Sustainable Energy (2024) Vol. 16, Iss. 3
Closed Access | Times Cited: 1
Smart grid fault diagnosis under load and renewable energy uncertainty
Md Shafiullah, M. A. Abido, A.H. Al-Mohammed
Elsevier eBooks (2022), pp. 293-346
Closed Access | Times Cited: 7
Intelligent Neural Learning Models for Multi-step Wind Speed Forecasting in Renewable Energy Applications
S. N. Deepa, Abhik Banerjee
Journal of Control Automation and Electrical Systems (2022) Vol. 33, Iss. 3, pp. 881-900
Closed Access | Times Cited: 6
A Review on Wind Power Forecasting Regarding Impacts on the System Operation, Technical Challenges, and Applications
Tolga Depçi, Mustafa İncı, Murat Mustafa Savrun, et al.
Energy Technology (2022) Vol. 10, Iss. 8
Closed Access | Times Cited: 6
RETRACTED: Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning
Silvio Simani, Saverio Farsoni, Paolo Castaldi
Energies (2023) Vol. 16, Iss. 9, pp. 3644-3644
Open Access | Times Cited: 3
A wind power forecasting model based on polynomial chaotic expansion and numerical weather prediction
Xiaoling Dong, Delin Wang, Jiayi Lu, et al.
Electric Power Systems Research (2023) Vol. 227, pp. 109983-109983
Closed Access | Times Cited: 3
Bearing Fault Diagnosis under Variable Working Conditions Based on Deep Residual Shrinkage Networks and Transfer Learning
Xinyu Yang, Fulin Chi, Siyu Shao, et al.
Journal of Sensors (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 7
Temporal-Spatial Graph Neural Network for Wind Power Forecasting Considering the Blockage Effects
Xu Cheng, Xiufeng Liu, Iliana Ilieva, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 2
Wind power generation prediction during the COVID-19 epidemic based on novel hybrid deep learning techniques
Lingshu Zhong, Pan Wu, Mingyang Pei
Renewable Energy (2023) Vol. 222, pp. 119863-119863
Closed Access | Times Cited: 2
Multi-Task Autoencoders and Transfer Learning for Day-Ahead Wind and Photovoltaic Power Forecasts
Jens Schreiber, Bernhard Sick
Energies (2022) Vol. 15, Iss. 21, pp. 8062-8062
Open Access | Times Cited: 4
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast
Jens Schreiber, S. Vogt, Bernhard Sick
Lecture notes in computer science (2021), pp. 118-134
Closed Access | Times Cited: 5
Fault prediction algorithm for offshore wind energy conversion system based on machine learning
Jing Yang, Junda Li
(2021), pp. 291-296
Closed Access | Times Cited: 4
Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting
Chandana Priya Nivarthi, S. Vogt, Bernhard Sick
(2022), pp. 1530-1536
Closed Access | Times Cited: 3
A novel multi-task transfer model to realize unsupervised fault diagnosis of newly constructed wind turbines under variable conditions
X L Liu, Desheng Sha, Qing Zhang, et al.
(2024), pp. 106-106
Closed Access

Scroll to top