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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 wind speed forecasting with de-noising-reconstruction strategy and quantile regression based algorithm
Jianming Hu, Jiani Heng, Jiemei Wen, et al.
Renewable Energy (2020) Vol. 162, pp. 1208-1226
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

A review of wind speed and wind power forecasting with deep neural networks
Yun Wang, Runmin Zou, Fang Liu, et al.
Applied Energy (2021) Vol. 304, pp. 117766-117766
Closed Access | Times Cited: 553
Interpretable wind speed prediction with multivariate time series and temporal fusion transformers
Binrong Wu, Lin Wang, Yu‐Rong Zeng
Energy (2022) Vol. 252, pp. 123990-123990
Closed Access | Times Cited: 147
A convolutional Transformer-based truncated Gaussian density network with data denoising for wind speed forecasting
Yun Wang, Houhua Xu, Mengmeng Song, et al.
Applied Energy (2023) Vol. 333, pp. 120601-120601
Closed Access | Times Cited: 62
Arctic short-term wind speed forecasting based on CNN-LSTM model with CEEMDAN
Qingyang Li, Guosong Wang, Xinrong Wu, et al.
Energy (2024) Vol. 299, pp. 131448-131448
Closed Access | Times Cited: 20
Constrained Deep Reinforcement Transfer Learning for Short-Term Forecasting of Wind Discrepancies at Ocean Stations
Jun Zhang, Yaoran Chen, Hang Pan, et al.
Neurocomputing (2025), pp. 129491-129491
Closed Access | Times Cited: 2
A comprehensive wind speed prediction system based on Monte Carlo and artificial intelligence algorithms
Yagang Zhang, Yunpeng Zhao, Xiaoyu Shen, et al.
Applied Energy (2021) Vol. 305, pp. 117815-117815
Closed Access | Times Cited: 77
Wind speed forecasting system based on gated recurrent units and convolutional spiking neural networks
Danxiang Wei, Jianzhou Wang, Xinsong Niu, et al.
Applied Energy (2021) Vol. 292, pp. 116842-116842
Closed Access | Times Cited: 74
Natural phase space reconstruction-based broad learning system for short-term wind speed prediction: Case studies of an offshore wind farm
Xuefang Xu, Shiting Hu, Peiming Shi, et al.
Energy (2022) Vol. 262, pp. 125342-125342
Closed Access | Times Cited: 58
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
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: 45
Conformalized temporal convolutional quantile regression networks for wind power interval forecasting
Jianming Hu, Qingxi Luo, Jingwei Tang, et al.
Energy (2022) Vol. 248, pp. 123497-123497
Closed Access | Times Cited: 44
A short-term wind speed interval prediction method based on WRF simulation and multivariate line regression for deep learning algorithms
Yan Han, Lihua Mi, Lian Shen, et al.
Energy Conversion and Management (2022) Vol. 258, pp. 115540-115540
Closed Access | Times Cited: 40
A novel two-stage seasonal grey model for residential electricity consumption forecasting
Pei Du, Ju’e Guo, Shaolong Sun, et al.
Energy (2022) Vol. 258, pp. 124664-124664
Closed Access | Times Cited: 39
Hybrid model for short-term wind power forecasting based on singular spectrum analysis and a temporal convolutional attention network with an adaptive receptive field
Zhen Shao, Jun Han, Wei Zhao, et al.
Energy Conversion and Management (2022) Vol. 269, pp. 116138-116138
Closed Access | Times Cited: 39
A hybrid photovoltaic/wind power prediction model based on Time2Vec, WDCNN and BiLSTM
Donghan Geng, Bo Wang, Qi Gao
Energy Conversion and Management (2023) Vol. 291, pp. 117342-117342
Closed Access | Times Cited: 39
Electricity demand error corrections with attention bi-directional neural networks
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Energy (2024) Vol. 291, pp. 129938-129938
Closed Access | Times Cited: 12
Probabilistic and deterministic wind speed forecasting based on non-parametric approaches and wind characteristics information
Jiani Heng, Yongmiao Hong, Jianming Hu, et al.
Applied Energy (2021) Vol. 306, pp. 118029-118029
Closed Access | Times Cited: 41
A deep asymmetric Laplace neural network for deterministic and probabilistic wind power forecasting
Yun Wang, Houhua Xu, Runmin Zou, et al.
Renewable Energy (2022) Vol. 196, pp. 497-517
Closed Access | Times Cited: 35
Wind Power Generation Forecast Based on Multi-Step Informer Network
Xiaohan Huang, Aihua Jiang
Energies (2022) Vol. 15, Iss. 18, pp. 6642-6642
Open Access | Times Cited: 34
Quantile deep learning model and multi-objective opposition elite marine predator optimization algorithm for wind speed prediction
Jianzhou Wang, Honggang Guo, Zhiwu Li, et al.
Applied Mathematical Modelling (2022) Vol. 115, pp. 56-79
Closed Access | Times Cited: 28
Rolling decomposition method in fusion with echo state network for wind speed forecasting
Huanling Hu, Lin Wang, Dabin Zhang, et al.
Renewable Energy (2023) Vol. 216, pp. 119101-119101
Closed Access | Times Cited: 21
A unified multi-step wind speed forecasting framework based on numerical weather prediction grids and wind farm monitoring data
Xingdou Liu, Li Zhang, Jiangong Wang, et al.
Renewable Energy (2023) Vol. 211, pp. 948-963
Open Access | Times Cited: 19
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
Complex-valued artificial hummingbird algorithm for global optimization and short-term wind speed prediction
Liuyan Feng, Yongquan Zhou, Qifang Luo, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123160-123160
Closed Access | Times Cited: 7
A novel dynamic spatio-temporal graph convolutional network for wind speed interval prediction
Zhengganzhe Chen, Bin Zhang, Chenglong Du, et al.
Energy (2024) Vol. 294, pp. 130930-130930
Closed Access | Times Cited: 7
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