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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 hybrid approach based on variational heteroscedastic Gaussian process regression for multi-step ahead wind speed forecasting
Chu Zhang, Peng Tian, Muhammad Shahzad Nazir
International Journal of Electrical Power & Energy Systems (2021) Vol. 136, pp. 107717-107717
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Load Forecasting Techniques for Power System: Research Challenges and Survey
Naqash Ahmad, Yazeed Yasin Ghadi, Muhammad Adnan, et al.
IEEE Access (2022) Vol. 10, pp. 71054-71090
Open Access | Times Cited: 132
Integrated framework of extreme learning machine (ELM) based on improved atom search optimization for short-term wind speed prediction
Lei Hua, Chu Zhang, Peng Tian, et al.
Energy Conversion and Management (2021) Vol. 252, pp. 115102-115102
Closed Access | Times Cited: 125
An evolutionary deep learning model based on TVFEMD, improved sine cosine algorithm, CNN and BiLSTM for wind speed prediction
Chu Zhang, Huixin Ma, Lei Hua, et al.
Energy (2022) Vol. 254, pp. 124250-124250
Closed Access | Times Cited: 98
Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization
Sheng-Xiang Lv, Lin Wang
Applied Energy (2022) Vol. 311, pp. 118674-118674
Closed Access | Times Cited: 87
Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
Celal Çakıroğlu, Sercan Demir, Mehmet Hakan Özdemir, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121464-121464
Closed Access | Times Cited: 76
A novel integrated photovoltaic power forecasting model based on variational mode decomposition and CNN-BiGRU considering meteorological variables
Chu Zhang, Peng Tian, Muhammad Shahzad Nazir
Electric Power Systems Research (2022) Vol. 213, pp. 108796-108796
Closed Access | Times Cited: 70
Wind speed prediction by a swarm intelligence based deep learning model via signal decomposition and parameter optimization using improved chimp optimization algorithm
Leiming Suo, Peng Tian, Shihao Song, et al.
Energy (2023) Vol. 276, pp. 127526-127526
Closed Access | Times Cited: 67
Load forecasting for regional integrated energy system based on complementary ensemble empirical mode decomposition and multi-model fusion
Jian Shi, Jiashen Teh
Applied Energy (2023) Vol. 353, pp. 122146-122146
Closed Access | Times Cited: 54
Hybrid framework combining grey system model with Gaussian process and STL for CO2 emissions forecasting in developed countries
Hong Yuan, Xin Ma, Minda Ma, et al.
Applied Energy (2024) Vol. 360, pp. 122824-122824
Closed Access | Times Cited: 19
Evolutionary quantile regression gated recurrent unit network based on variational mode decomposition, improved whale optimization algorithm for probabilistic short-term wind speed prediction
Chu Zhang, Chunlei Ji, Lei Hua, et al.
Renewable Energy (2022) Vol. 197, pp. 668-682
Closed Access | Times Cited: 67
A multi-scale evolutionary deep learning model based on CEEMDAN, improved whale optimization algorithm, regularized extreme learning machine and LSTM for AQI prediction
Chunlei Ji, Chu Zhang, Lei Hua, et al.
Environmental Research (2022) Vol. 215, pp. 114228-114228
Closed Access | Times Cited: 59
Review on Deep Learning Research and Applications in Wind and Wave Energy
Chengcheng Gu, Hua Li
Energies (2022) Vol. 15, Iss. 4, pp. 1510-1510
Open Access | Times Cited: 50
An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process
Lei Hua, Chu Zhang, Wei Sun, et al.
ISA Transactions (2022) Vol. 136, pp. 139-151
Closed Access | Times Cited: 44
Wind power forecasting based on new hybrid model with TCN residual modification
Jiaojiao Zhu, Liancheng Su, Yingwei Li
Energy and AI (2022) Vol. 10, pp. 100199-100199
Open Access | Times Cited: 43
Developing an evolutionary deep learning framework with random forest feature selection and improved flow direction algorithm for NOx concentration prediction
Huixin Ma, Peng Tian, Chu Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106367-106367
Closed Access | Times Cited: 29
An improved Wavenet network for multi-step-ahead wind energy forecasting
Yun Wang, Tuo Chen, Shengchao Zhou, et al.
Energy Conversion and Management (2023) Vol. 278, pp. 116709-116709
Closed Access | Times Cited: 26
A hybrid model with combined feature selection based on optimized VMD and improved multi-objective coati optimization algorithm for short-term wind power prediction
Chao Wang, Lin Hon, Heng Hu, et al.
Energy (2024) Vol. 293, pp. 130684-130684
Closed Access | Times Cited: 13
Swarm intelligence based deep learning model via improved whale optimization algorithm and Bi-directional long short-term memory for fault diagnosis of chemical processes
Chunlei Ji, Chu Zhang, Leiming Suo, et al.
ISA Transactions (2024) Vol. 147, pp. 227-238
Closed Access | Times Cited: 12
Simultaneous forecasting of wind speed for multiple stations based on attribute-augmented spatiotemporal graph convolutional network and tree-structured parzen estimator
Chu Zhang, Xiujie Qiao, Zhao Zhang, et al.
Energy (2024) Vol. 295, pp. 131058-131058
Closed Access | Times Cited: 7
A Comprehensive Survey on Load Forecasting Hybrid Models: Navigating the Futuristic Demand Response Patterns through Experts and Intelligent Systems
Kinza Fida, Usman Abbasi, Muhammad Adnan, et al.
Results in Engineering (2024) Vol. 23, pp. 102773-102773
Open Access | Times Cited: 7
Variable frequency wind speed trend prediction system based on combined neural network and improved multi-objective optimization algorithm
Zhirui Tian, Jiyang Wang
Energy (2022) Vol. 254, pp. 124249-124249
Closed Access | Times Cited: 33
Ensemble optimization approach based on hybrid mode decomposition and intelligent technology for wind power prediction system
Yagang Zhang, Hui Wang, Jingchao Wang, et al.
Energy (2024) Vol. 292, pp. 130492-130492
Closed Access | Times Cited: 6
Evaluation Metrics for Wind Power Forecasts: A Comprehensive Review and Statistical Analysis of Errors
P. Piotrowski, Inajara Rutyna, D. Baczyński, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9657-9657
Open Access | Times Cited: 23
A novel hybrid wind speed prediction framework based on multi-strategy improved optimizer and new data pre-processing system with feedback mechanism
Zhirui Tian, Gai Mei
Energy (2023) Vol. 281, pp. 128225-128225
Closed Access | Times Cited: 14
A process knowledge-based hybrid method for univariate time series prediction with uncertain inputs in process industry
Linjin Sun, Yangjian Ji, Qixuan Li, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102438-102438
Closed Access | Times Cited: 4
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