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:

A novel ensemble model based on artificial intelligence and mixed-frequency techniques for wind speed forecasting
Wendong Yang, Zhirui Tian, Hao Yan
Energy Conversion and Management (2021) Vol. 252, pp. 115086-115086
Closed Access | Times Cited: 57

Showing 26-50 of 57 citing articles:

A dynamic ensemble approach for multi-step price prediction: Empirical evidence from crude oil and shipping market
Jun Hao, Jiaxin Yuan, Dengsheng Wu, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121117-121117
Closed Access | Times Cited: 8
A novel hybrid forecasting model with feature selection and deep learning for wind speed research
Xuejun Chen, Ying Wang, Hai‐Tao Zhang, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 5, pp. 1682-1705
Closed Access | Times Cited: 2
Deep convolution IT2 fuzzy system with adaptive variable selection method for ultra-short-term wind speed prediction
Yaxue Ren, Yintang Wen, Fucai Liu, et al.
Energy Conversion and Management (2024) Vol. 309, pp. 118420-118420
Closed Access | Times Cited: 2
A novel combined probabilistic load forecasting system integrating hybrid quantile regression and knee improved multi-objective optimization strategy
Yi Yang, Qianyi Xing, Kang Wang, et al.
Applied Energy (2023) Vol. 356, pp. 122341-122341
Closed Access | Times Cited: 7
Developing a data-driven hydraulic excavator fuel consumption prediction system based on deep learning
Haoju Song, Guiqin Li, Xihang Li, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102063-102063
Closed Access | Times Cited: 5
Wind-Speed Multi-Step Forecasting Based on Variational Mode Decomposition, Temporal Convolutional Network, and Transformer Model
Shengcai Zhang, Changsheng Zhu, Xiuting Guo
Energies (2024) Vol. 17, Iss. 9, pp. 1996-1996
Open Access | Times Cited: 1
A hybrid forecasting architecture for air passenger demand considering search engine data and spatial effect
Xiaozhen Liang, Chenxi Hong, Jiaqi Chen, et al.
Journal of Air Transport Management (2024) Vol. 118, pp. 102611-102611
Closed Access | Times Cited: 1
Data denoising and deep learning prediction for the wind speed based on NOA optimization
Xinyi Xu, Shaojuan Ma, Cheng Huang
Research Square (Research Square) (2024)
Closed Access | Times Cited: 1
A machine learning-based probabilistic wind speed prediction model with multi-resolution data, quantile regression and bound estimation
Hui Feng, Wenliang Qian, Shujin Laima
Engineering Structures (2024) Vol. 322, pp. 119098-119098
Closed Access | Times Cited: 1
Volatility index prediction based on a hybrid deep learning system with multi-objective optimization and mode decomposition
Chaonan Tian, Tong Niu, Wei Wei
Expert Systems with Applications (2022) Vol. 213, pp. 119184-119184
Closed Access | Times Cited: 8
A novel air pollution prediction system based on data processing, fuzzy theory, and multi-strategy improved optimizer
Zhirui Tian, Gai Mei
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 21, pp. 59719-59736
Closed Access | Times Cited: 4
Probabilistic short-term wind speed forecasting using a novel ensemble QRNN
Yaodong Liu, Zidong Xu, Hao Wang, et al.
Structures (2023) Vol. 57, pp. 105286-105286
Closed Access | Times Cited: 4
A novel machine learning ensemble forecasting model based on mixed frequency technology and multi-objective optimization for carbon trading price
Zejun Li, Long Jun, Lue Li
Frontiers in Energy Research (2024) Vol. 11
Open Access | Times Cited: 1
A Novel Fault Diagnosis Method for TE Process Based on Optimal Extreme Learning Machine
Xinyi Hu, Mingfei Hu, Xiaohui Yang
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3388-3388
Open Access | Times Cited: 5
Macroeconomic Forecasting Based on Mixed Frequency Vector Autoregression and Neural Network Models
Fangze Cheng, Zitian Fu
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 5
Local and Long-range Convolutional LSTM Network: A novel multi-step wind speed prediction approach for modeling local and long-range spatial correlations based on ConvLSTM
Mei Yu, Boan Tao, Xuewei Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107613-107613
Closed Access | Times Cited: 2
A hybrid approach to ultra short-term wind speed prediction using CEEMDAN and Informer
Bala Saibabu Bommidi, Vishalteja Kosana, Kiran Teeparthi, et al.
(2022), pp. 207-212
Closed Access | Times Cited: 4
A novel combined wind speed forecasting system based on fuzzy granulation and multi-objective optimization
Chenglin Yang, Jianzhou Wang
Journal of Renewable and Sustainable Energy (2024) Vol. 16, Iss. 2
Open Access
Short-Term Wind Speed Forecasting Based on VMD-SE-CEEMDAN-PSO-SVR
永月 王
Operations Research and Fuzziology (2024) Vol. 14, Iss. 02, pp. 360-372
Closed Access
Wind Speed Multi-Step Forecasting Using High- Resolution and Multi-Objective Ensemble Model With Error Correction
Shengcai Zhang, Changsheng Zhu, Xiuting Guo
IEEE Access (2024) Vol. 12, pp. 73141-73159
Open Access
Can Data Preprocessing Techniques Indeed Improve Short-Term Wind Speed Forecasting Accuracy? A Comprehensive Validation and Discussion
Junheng Pang, Sheng Dong
(2024)
Closed Access
A ML-Based Wind Speed Prediction Model with Truncated Real-Time Decomposition and Multi-Resolution Data
Hui Feng, Yao Jin, Shujin Laima, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9610-9610
Open Access | Times Cited: 3
Can Data Preprocessing Techniques Indeed Improve Short-Term Wind Speed Forecasting Accuracy? A Comprehensive Validation and Discussion
Junheng Pang, Sheng Dong
(2024)
Closed Access
Reveling Internal-External Causality for Short-Term Wind Power Prediction: A Temporal Causal Attention Network
Zhen Shao, Yuhan Zhang, Shanlin Yang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 11, pp. 13077-13089
Closed Access
Time Series Adaptive Mode Decomposition (Tamd): A Method for Improving Time Series Forecasting Accuracy in the Apparel Industry
G. M. Zhou, P. L. Liu, Qing Lin, et al.
(2024)
Closed Access

Scroll to top