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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:

Deterministic and probabilistic interval prediction for short-term wind power generation based on variational mode decomposition and machine learning methods
Yachao Zhang, Kaipei Liu, Liang Qin, et al.
Energy Conversion and Management (2016) Vol. 112, pp. 208-219
Closed Access | Times Cited: 153

Showing 1-25 of 153 citing articles:

Recent advances in electricity price forecasting: A review of probabilistic forecasting
Jakub Nowotarski, Rafał Weron
Renewable and Sustainable Energy Reviews (2017) Vol. 81, pp. 1548-1568
Open Access | Times Cited: 449
Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review
Eklas Hossain, Imtiaj Khan, Fuad Un-Noor, et al.
IEEE Access (2019) Vol. 7, pp. 13960-13988
Open Access | Times Cited: 414
A review and discussion of decomposition-based hybrid models for wind energy forecasting applications
Zheng Qian, Yan Pei, Hamidreza Zareipour, et al.
Applied Energy (2018) Vol. 235, pp. 939-953
Closed Access | Times Cited: 332
A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting
Chu Zhang, Jianzhong Zhou, Chaoshun Li, et al.
Energy Conversion and Management (2017) Vol. 143, pp. 360-376
Closed Access | Times Cited: 249
Wind power prediction using hybrid autoregressive fractionally integrated moving average and least square support vector machine
Xiaohui Yuan, Qingxiong Tan, Xiaohui Lei, et al.
Energy (2017) Vol. 129, pp. 122-137
Closed Access | Times Cited: 199
Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads
Zichen Zhang, Wei‐Chiang Hong
Knowledge-Based Systems (2021) Vol. 228, pp. 107297-107297
Closed Access | Times Cited: 185
Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM
Wenlong Fu, Kai Wang, Chaoshun Li, et al.
Energy Conversion and Management (2019) Vol. 187, pp. 356-377
Closed Access | Times Cited: 162
Ultra-short term wind power prediction applying a novel model named SATCN-LSTM
Ling Xiang, Jianing Liu, Xin Yang, et al.
Energy Conversion and Management (2021) Vol. 252, pp. 115036-115036
Closed Access | Times Cited: 108
Ultra-short-term wind power forecasting based on deep Bayesian model with uncertainty
Lei Liu, Jicheng Liu, Yu Ye, et al.
Renewable Energy (2023) Vol. 205, pp. 598-607
Closed Access | Times Cited: 51
Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting
M. Pavlov, Luka Jovanovic, Nebojša Bačanin, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 30
A wind speed interval prediction system based on multi-objective optimization for machine learning method
Ranran Li, Yu Jin
Applied Energy (2018) Vol. 228, pp. 2207-2220
Closed Access | Times Cited: 149
Deterministic and probabilistic wind power forecasting using a variational Bayesian-based adaptive robust multi-kernel regression model
Yun Wang, Qinghua Hu, Deyu Meng, et al.
Applied Energy (2017) Vol. 208, pp. 1097-1112
Closed Access | Times Cited: 147
A novel wind speed forecasting based on hybrid decomposition and online sequential outlier robust extreme learning machine
Dan Zhang, Xiangang Peng, Keda Pan, et al.
Energy Conversion and Management (2018) Vol. 180, pp. 338-357
Closed Access | Times Cited: 143
Application of hybrid model based on double decomposition, error correction and deep learning in short-term wind speed prediction
Zherui Ma, Hongwei Chen, Jiangjiang Wang, et al.
Energy Conversion and Management (2019) Vol. 205, pp. 112345-112345
Closed Access | Times Cited: 135
One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data
Xinyu Zhao, Jinfu Liu, Daren Yu, et al.
Energy Conversion and Management (2018) Vol. 164, pp. 560-569
Closed Access | Times Cited: 133
Electric Load Forecasting by Hybrid Self-Recurrent Support Vector Regression Model With Variational Mode Decomposition and Improved Cuckoo Search Algorithm
Zichen Zhang, Wei‐Chiang Hong, Junchi Li
IEEE Access (2020) Vol. 8, pp. 14642-14658
Open Access | Times Cited: 122
Maximum power extraction for wind turbines through a novel yaw control solution using predicted wind directions
Dongran Song, Jian Yang, Xinyu Fan, et al.
Energy Conversion and Management (2017) Vol. 157, pp. 587-599
Closed Access | Times Cited: 113
An innovative hybrid model based on outlier detection and correction algorithm and heuristic intelligent optimization algorithm for daily air quality index forecasting
Jianzhou Wang, Pei Du, Hao Yan, et al.
Journal of Environmental Management (2019) Vol. 255, pp. 109855-109855
Closed Access | Times Cited: 112
A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing
Yachao Zhang, Jian Le, Xiaobing Liao, et al.
Energy (2018) Vol. 168, pp. 558-572
Closed Access | Times Cited: 110
Short term wind power forecasting using hybrid variational mode decomposition and multi-kernel regularized pseudo inverse neural network
Jyotirmayee Naik, Sujit Kumar Dash, P.K. Dash, et al.
Renewable Energy (2017) Vol. 118, pp. 180-212
Closed Access | Times Cited: 108
A review of applications of artificial intelligent algorithms in wind farms
Yirui Wang, Yang Yu, Shuyang Cao, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 5, pp. 3447-3500
Closed Access | Times Cited: 106
Short-term wind power combined forecasting based on error forecast correction
Zhengtang Liang, Jun Liang, Chengfu Wang, et al.
Energy Conversion and Management (2016) Vol. 119, pp. 215-226
Closed Access | Times Cited: 104
A novel system for multi-step electricity price forecasting for electricity market management
Wendong Yang, Jianzhou Wang, Tong Niu, et al.
Applied Soft Computing (2019) Vol. 88, pp. 106029-106029
Closed Access | Times Cited: 103
Deterministic and probabilistic multi-step forecasting for short-term wind speed based on secondary decomposition and a deep learning method
Ling Xiang, Jingxu Li, Aijun Hu, et al.
Energy Conversion and Management (2020) Vol. 220, pp. 113098-113098
Closed Access | Times Cited: 102
Probabilistic Framework with Bayesian Optimization for Predicting Typhoon-Induced Dynamic Responses of a Long-Span Bridge
Yiming Zhang, Hao Wang, Jianxiao Mao, et al.
Journal of Structural Engineering (2020) Vol. 147, Iss. 1
Closed Access | Times Cited: 100
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