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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.

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Showing 1-25 of 57 citing articles:

Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model
Sheng-Xiang Lv, Lin Wang
Energy (2022) Vol. 263, pp. 126100-126100
Closed Access | Times Cited: 80
A novel ensemble probabilistic forecasting system for uncertainty in wind speed
Jianzhou Wang, Shuai Wang, Bo Zeng, et al.
Applied Energy (2022) Vol. 313, pp. 118796-118796
Closed Access | Times Cited: 77
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
Ultra-short-term wind power probabilistic forecasting based on an evolutionary non-crossing multi-output quantile regression deep neural network
Jianhua Zhu, Yaoyao He, Xiaodong Yang, et al.
Energy Conversion and Management (2024) Vol. 301, pp. 118062-118062
Closed Access | Times Cited: 20
Coordinated approach fusing time-shift multiscale dispersion entropy and vibrational Harris hawks optimization-based SVM for fault diagnosis of rolling bearing
Kaixuan Shao, Wenlong Fu, Jiawen Tan, et al.
Measurement (2020) Vol. 173, pp. 108580-108580
Closed Access | Times Cited: 122
A hybrid approach for multi-step wind speed forecasting based on two-layer decomposition, improved hybrid DE-HHO optimization and KELM
Wenlong Fu, Kai Zhang, Kai Wang, et al.
Renewable Energy (2020) Vol. 164, pp. 211-229
Closed Access | Times Cited: 86
A combination forecasting model of wind speed based on decomposition
Zhongda Tian, Hao Li, Feihong Li
Energy Reports (2021) Vol. 7, pp. 1217-1233
Open Access | Times Cited: 77
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
Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting
Mehdi Jamei, Mumtaz Ali, Anurag Malik, et al.
Journal of Hydrology (2023) Vol. 617, pp. 129105-129105
Closed Access | Times Cited: 36
A data-driven distributionally robust optimization model for multi-energy coupled system considering the temporal-spatial correlation and distribution uncertainty of renewable energy sources
Yachao Zhang, Yan Liu, Shengwen Shu, et al.
Energy (2020) Vol. 216, pp. 119171-119171
Closed Access | Times Cited: 60
A compositive architecture coupling outlier correction, EWT, nonlinear Volterra multi-model fusion with multi-objective optimization for short-term wind speed forecasting
Ping Fang, Wenlong Fu, Kai Wang, et al.
Applied Energy (2021) Vol. 307, pp. 118191-118191
Closed Access | Times Cited: 53
A blended approach incorporating TVFEMD, PSR, NNCT-based multi-model fusion and hierarchy-based merged optimization algorithm for multi-step wind speed prediction
Dongzhen Xiong, Wenlong Fu, Kai Wang, et al.
Energy Conversion and Management (2021) Vol. 230, pp. 113680-113680
Closed Access | Times Cited: 52
Multi-step ahead short-term wind speed forecasting approach coupling variational mode decomposition, improved beetle antennae search algorithm-based synchronous optimization and Volterra series model
Wenlong Fu, Ping Fang, Kai Wang, et al.
Renewable Energy (2021) Vol. 179, pp. 1122-1139
Closed Access | Times Cited: 50
Performance enhancement of pumped storage units for system frequency support based on a novel small signal model
Zhigao Zhao, Jiandong Yang, C. Y. Chung, et al.
Energy (2021) Vol. 234, pp. 121207-121207
Closed Access | Times Cited: 45
Usage of correlation analysis and hypothesis test in optimizing the gated recurrent unit network for wind speed forecasting
Jie Wu, Na Li, Yan Zhao, et al.
Energy (2021) Vol. 242, pp. 122960-122960
Closed Access | Times Cited: 42
Wind speed forecasting using multi-scale feature adaptive extraction ensemble model with error regression correction
Jun Chen, Hui Liu, Chao Chen, et al.
Expert Systems with Applications (2022) Vol. 207, pp. 117358-117358
Closed Access | Times Cited: 30
Quantile regression based probabilistic forecasting of renewable energy generation and building electrical load: A state of the art review
Chengliang Xu, Yongjun Sun, Anran Du, et al.
Journal of Building Engineering (2023) Vol. 79, pp. 107772-107772
Closed Access | Times Cited: 18
Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration
Masoud Karbasi, Mehdi Jamei, Mumtaz Ali, et al.
Agricultural Water Management (2023) Vol. 290, pp. 108604-108604
Open Access | Times Cited: 18
Ensemble framework for daily carbon dioxide emissions forecasting based on the signal decomposition–reconstruction model
Chao Song, Tao Wang, Xiaohong Chen, et al.
Applied Energy (2023) Vol. 345, pp. 121330-121330
Closed Access | Times Cited: 17
A hybrid carbon price prediction model based-combinational estimation strategies of quantile regression and long short-term memory
Nijun Jiang, Xiaobing Yu, Manawwer Alam
Journal of Cleaner Production (2023) Vol. 429, pp. 139508-139508
Closed Access | Times Cited: 17
Review of several key processes in wind power forecasting: Mathematical formulations, scientific problems, and logical relations
Mao Yang, Y. Huang, Chuanyu Xu, et al.
Applied Energy (2024) Vol. 377, pp. 124631-124631
Closed Access | Times Cited: 6
A Novel Hybrid Model Based on an Improved Seagull Optimization Algorithm for Short-Term Wind Speed Forecasting
Xin Chen, Yuanlu Li, Yingchao Zhang, et al.
Processes (2021) Vol. 9, Iss. 2, pp. 387-387
Open Access | Times Cited: 34
A novel combined model for probabilistic load forecasting based on deep learning and improved optimizer
Dongxue Zhang, Shuai Wang, Yuqiu Liang, et al.
Energy (2022) Vol. 264, pp. 126172-126172
Closed Access | Times Cited: 26
Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time-Varying Filtered Empirical Mode Decomposition Approach
Mehdi Jamei, Mumtaz Ali, Anurag Malik, et al.
Water Resources Management (2022) Vol. 36, Iss. 12, pp. 4637-4676
Closed Access | Times Cited: 24
Deep non-crossing probabilistic wind speed forecasting with multi-scale features
Runmin Zou, Mengmeng Song, Yun Wang, et al.
Energy Conversion and Management (2022) Vol. 257, pp. 115433-115433
Closed Access | Times Cited: 23
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