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:

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: 134

Showing 1-25 of 134 citing articles:

A review of deep learning for renewable energy forecasting
Huaizhi Wang, Zhenxing Lei, Xian Zhang, et al.
Energy Conversion and Management (2019) Vol. 198, pp. 111799-111799
Closed Access | Times Cited: 869
A combined forecasting model for time series: Application to short-term wind speed forecasting
Zhenkun Liu, Ping Jiang, Lifang Zhang, et al.
Applied Energy (2019) Vol. 259, pp. 114137-114137
Closed Access | Times Cited: 260
Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine
Xiwei Mi, Hui Liu, Yanfei Li
Energy Conversion and Management (2018) Vol. 180, pp. 196-205
Closed Access | Times Cited: 222
A novel hybrid model based on VMD-WT and PCA-BP-RBF neural network for short-term wind speed forecasting
Yagang Zhang, Bing Chen, Guifang Pan, et al.
Energy Conversion and Management (2019) Vol. 195, pp. 180-197
Closed Access | Times Cited: 222
A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, et al.
Energy Conversion and Management (2021) Vol. 236, pp. 114002-114002
Closed Access | Times Cited: 181
A new prediction method based on VMD-PRBF-ARMA-E model considering wind speed characteristic
Yagang Zhang, Yuan Zhao, Chunhui Kong, et al.
Energy Conversion and Management (2019) Vol. 203, pp. 112254-112254
Closed Access | Times Cited: 178
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: 127
Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model
Dongxiao Niu, Lijie Sun, Min Yu, et al.
Energy (2022) Vol. 254, pp. 124384-124384
Closed Access | Times Cited: 106
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
Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects
Natei Ermias Benti, Mesfin Diro Chaka, Addisu Gezahegn Semie
Sustainability (2023) Vol. 15, Iss. 9, pp. 7087-7087
Open Access | Times Cited: 85
Short-term wind power prediction based on two-layer decomposition and BiTCN-BiLSTM-attention model
Dongdong Zhang, Baian Chen, Hongyu Zhu, et al.
Energy (2023) Vol. 285, pp. 128762-128762
Closed Access | Times Cited: 71
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: 55
A novel model for ultra-short term wind power prediction based on Vision Transformer
Ling Xiang, Xiaomengting Fu, Qingtao Yao, et al.
Energy (2024) Vol. 294, pp. 130854-130854
Closed Access | Times Cited: 15
A hybrid wind speed forecasting model with two-stage data processing based on adaptive neuro-fuzzy inference systems and deep learning algorithms
Zhongda Tian, D. H. Wei
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 2
A novel wind speed prediction strategy based on Bi-LSTM, MOOFADA and transfer learning for centralized control centers
Tao Liang, Qing Zhao, Qingzhao Lv, et al.
Energy (2021) Vol. 230, pp. 120904-120904
Closed Access | Times Cited: 102
Short-term wind speed forecasting based on long short-term memory and improved BP neural network
Gonggui Chen, Bangrui Tang, Xianjun Zeng, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 134, pp. 107365-107365
Closed Access | Times Cited: 102
A novel decomposition-ensemble prediction model for ultra-short-term wind speed
Zhongda Tian, Hao Chen
Energy Conversion and Management (2021) Vol. 248, pp. 114775-114775
Closed Access | Times Cited: 101
Forecasting of solar and wind power using LSTM RNN for load frequency control in isolated microgrid
Dhananjay Kumar, Hitesh Datt Mathur, Surekha Bhanot, et al.
International Journal of Modelling and Simulation (2020) Vol. 41, Iss. 4, pp. 311-323
Closed Access | Times Cited: 96
Day-ahead spatiotemporal wind speed forecasting using robust design-based deep learning neural network
Ying‐Yi Hong, Thursy Rienda Aulia Satriani
Energy (2020) Vol. 209, pp. 118441-118441
Closed Access | Times Cited: 93
Short-term average wind speed and turbulent standard deviation forecasts based on one-dimensional convolutional neural network and the integrate method for probabilistic framework
Xinyu Zhao, Na Jiang, Jinfu Liu, et al.
Energy Conversion and Management (2019) Vol. 203, pp. 112239-112239
Closed Access | Times Cited: 80
A holistic review on energy forecasting using big data and deep learning models
Jayanthi Devaraj, Rajvikram Madurai Elavarasan, GM Shafiullah, et al.
International Journal of Energy Research (2021) Vol. 45, Iss. 9, pp. 13489-13530
Open Access | Times Cited: 80
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: 78
Modes decomposition forecasting approach for ultra-short-term wind speed
Zhongda Tian
Applied Soft Computing (2021) Vol. 105, pp. 107303-107303
Closed Access | Times Cited: 77
Hybrid model with secondary decomposition, randomforest algorithm, clustering analysis and long short memory network principal computing for short-term wind power forecasting on multiple scales
Zexian Sun, Mingyu Zhao, Dong Yan, et al.
Energy (2021) Vol. 221, pp. 119848-119848
Closed Access | Times Cited: 62
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
Page 1 - Next Page

Scroll to top