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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:

Design of a combined system based on two-stage data preprocessing and multi-objective optimization for wind speed prediction
Ying Wang, Jianzhou Wang, Zhiwu Li, et al.
Energy (2021) Vol. 231, pp. 121125-121125
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

A short-term wind power forecasting method based on multivariate signal decomposition and variable selection
Ting Yang, Zhenning Yang, Fei Li, et al.
Applied Energy (2024) Vol. 360, pp. 122759-122759
Closed Access | Times Cited: 26
Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection
Lifang Zhang, Jianzhou Wang, Xinsong Niu, et al.
Applied Energy (2021) Vol. 301, pp. 117449-117449
Closed Access | Times Cited: 90
Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme
Ping Jiang, Ying Nie, Jianzhou Wang, et al.
Energy Economics (2022) Vol. 117, pp. 106471-106471
Closed Access | Times Cited: 49
A novel combined forecasting model based on neural networks, deep learning approaches, and multi-objective optimization for short-term wind speed forecasting
Jianzhou Wang, Yining An, Zhiwu Li, et al.
Energy (2022) Vol. 251, pp. 123960-123960
Closed Access | Times Cited: 40
Ensemble forecasting system based on decomposition-selection-optimization for point and interval carbon price prediction
Jianzhou Wang, Ying Wang, Hongmin Li, et al.
Applied Mathematical Modelling (2022) Vol. 113, pp. 262-286
Open Access | Times Cited: 40
Wind speed interval prediction based on multidimensional time series of Convolutional Neural Networks
Jiyang Wang, Zhiwu Li
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105987-105987
Closed Access | Times Cited: 40
Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2023) Vol. 353, pp. 122059-122059
Open Access | Times Cited: 25
A novel wind speed forecasting combined model using variational mode decomposition, sparse auto-encoder and optimized fuzzy cognitive mapping network
Yahui Hu, Yingshi Guo, Rui Fu
Energy (2023) Vol. 278, pp. 127926-127926
Closed Access | Times Cited: 22
A robust chaos-inspired artificial intelligence model for dealing with nonlinear dynamics in wind speed forecasting
Caner Barış, Cağfer Yanarateş, Aytaç Altan
PeerJ Computer Science (2024) Vol. 10, pp. e2393-e2393
Open Access | Times Cited: 11
A novel multivariate electrical price bi-forecasting system based on deep learning, a multi-input multi-output structure and an operator combination mechanism
Ying Nie, Ping Li, Jianzhou Wang, et al.
Applied Energy (2024) Vol. 366, pp. 123233-123233
Closed Access | Times Cited: 9
Wind speed deterministic forecasting and probabilistic interval forecasting approach based on deep learning, modified tunicate swarm algorithm, and quantile regression
Jianzhou Wang, Shuai Wang, Zhiwu Li
Renewable Energy (2021) Vol. 179, pp. 1246-1261
Closed Access | Times Cited: 52
A multivariable hybrid prediction system of wind power based on outlier test and innovative multi-objective optimization
Honggang Guo, Jianzhou Wang, Zhiwu Li, et al.
Energy (2021) Vol. 239, pp. 122333-122333
Closed Access | Times Cited: 41
A newly combination model based on data denoising strategy and advanced optimization algorithm for short-term wind speed prediction
Mengzheng Lv, Jianzhou Wang, Xinsong Niu, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 8271-8290
Closed Access | Times Cited: 32
A data-driven rolling optimization control approach for building energy systems that integrate virtual energy storage systems
Yunfei Mu, Yanze Xu, Jiarui Zhang, et al.
Applied Energy (2023) Vol. 346, pp. 121362-121362
Closed Access | Times Cited: 19
Hybrid model for profit-driven churn prediction based on cost minimization and return maximization
Ping Jiang, Zhenkun Liu, Lifang Zhang, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120354-120354
Closed Access | Times Cited: 18
A novel combined model based on echo state network optimized by whale optimization algorithm for blast furnace gas prediction
Shizhao Wen, Hongzeng Wang, Jinhua Qian, et al.
Energy (2023) Vol. 279, pp. 128048-128048
Closed Access | Times Cited: 17
A deep-learning wind speed interval forecasting architecture based on modified scaling approach with feature ranking and two-output gated recurrent unit
Jianzhou Wang, Qiwei Li, Haipeng Zhang, et al.
Expert Systems with Applications (2022) Vol. 211, pp. 118419-118419
Closed Access | Times Cited: 27
Hybrid wind speed prediction framework using data pre-processing strategy based autoencoder network
Vishalteja Kosana, Kiran Teeparthi, Santhosh Madasthu
Electric Power Systems Research (2022) Vol. 206, pp. 107821-107821
Closed Access | Times Cited: 23
Accident pattern recognition in subway construction for the provision of customized safety measures
Haonan Qi, Zhipeng Zhou, Jingfeng Yuan, et al.
Tunnelling and Underground Space Technology (2023) Vol. 137, pp. 105157-105157
Closed Access | Times Cited: 12
Point and interval prediction of crude oil futures prices based on chaos theory and multiobjective slime mold algorithm
Weixin Sun, Heli Chen, Feng Liu, et al.
Annals of Operations Research (2022)
Open Access | Times Cited: 18
Uncertainty quantification of PM2.5 concentrations using a hybrid model based on characteristic decomposition and fuzzy granulation
Linyue Zhang, Jianzhou Wang, Zhiwu Li, et al.
Journal of Environmental Management (2022) Vol. 324, pp. 116282-116282
Closed Access | Times Cited: 16
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: 3
Research on the Settlement Prediction Model of Foundation Pit Based on the Improved PSO-SVM Model
Zhibin Song, Shurong Liu, Mingyue Jiang, et al.
Scientific Programming (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 15
A wind speed interval prediction method for reducing noise uncertainty
Kun Li, Yayu Liu, Ying Han
Wind Engineering (2024) Vol. 48, Iss. 4, pp. 532-552
Closed Access | Times Cited: 2
A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer
Yang Zhao, Jianzhou Wang, Tong Niu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 23, pp. 12037-12066
Closed Access | Times Cited: 2
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