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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 177 citing articles:

Overview of the development of offshore wind power generation in China
Yuhan Chen, Heyun Lin
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102766-102766
Closed Access | Times Cited: 82
Forecast energy demand, CO2 emissions and energy resource impacts for the transportation sector
Majid Emami Javanmard, Yidan Tang, Zhongjie WANG, et al.
Applied Energy (2023) Vol. 338, pp. 120830-120830
Closed Access | Times Cited: 69
Advanced hyperparameter optimization of deep learning models for wind power prediction
Shahram Hanifi, Andrea Cammarono, Hossein Zare‐Behtash
Renewable Energy (2023) Vol. 221, pp. 119700-119700
Open Access | Times Cited: 53
Achieving wind power and photovoltaic power prediction: An intelligent prediction system based on a deep learning approach
Yagang Zhang, Zhiya Pan, Hui Wang, et al.
Energy (2023) Vol. 283, pp. 129005-129005
Closed Access | Times Cited: 42
CNN–LSTM–AM: A power prediction model for offshore wind turbines
Yu Sun, Qibo Zhou, Li Sun, et al.
Ocean Engineering (2024) Vol. 301, pp. 117598-117598
Closed Access | Times Cited: 26
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: 25
Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, et al.
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3119-3134
Closed Access | Times Cited: 23
A review of short-term wind power generation forecasting methods in recent technological trends
Ezgi Arslan Tuncar, Şafak Sağlam, Bülent Oral
Energy Reports (2024) Vol. 12, pp. 197-209
Closed Access | Times Cited: 18
A short-term power prediction method for wind farm cluster based on the fusion of multi-source spatiotemporal feature information
Mao Yang, Chao Han, Wei Zhang, et al.
Energy (2024) Vol. 294, pp. 130770-130770
Closed Access | Times Cited: 17
Read-First LSTM model: A new variant of long short term memory neural network for predicting solar radiation data
Mohammad Ehteram, Mahdie Afshari Nia, Fatemeh Panahi, et al.
Energy Conversion and Management (2024) Vol. 305, pp. 118267-118267
Closed Access | Times Cited: 17
Elman neural network considering dynamic time delay estimation for short-term forecasting of offshore wind power
Jing Huang, Rui Qin
Applied Energy (2024) Vol. 358, pp. 122671-122671
Closed Access | Times Cited: 16
A composite framework for photovoltaic day-ahead power prediction based on dual clustering of dynamic time warping distance and deep autoencoder
Mao Yang, Meng Zhao, Dawei Huang, et al.
Renewable Energy (2022) Vol. 194, pp. 659-673
Closed Access | Times Cited: 52
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
A novel wind power forecasting system integrating time series refining, nonlinear multi-objective optimized deep learning and linear error correction
Jianzhou Wang, Yuansheng Qian, Linyue Zhang, et al.
Energy Conversion and Management (2023) Vol. 299, pp. 117818-117818
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
Carbon price forecasting based on secondary decomposition and feature screening
Jingmiao Li, Dehong Liu
Energy (2023) Vol. 278, pp. 127783-127783
Closed Access | Times Cited: 34
Offshore wind speed assessment with statistical and attention-based neural network methods based on STL decomposition
Li Xu, Yanxia Ou, Jingjing Cai, et al.
Renewable Energy (2023) Vol. 216, pp. 119097-119097
Closed Access | Times Cited: 30
An improved Wavenet network for multi-step-ahead wind energy forecasting
Yun Wang, Tuo Chen, Shengchao Zhou, et al.
Energy Conversion and Management (2023) Vol. 278, pp. 116709-116709
Closed Access | Times Cited: 26
A hybrid model based on discrete wavelet transform (DWT) and bidirectional recurrent neural networks for wind speed prediction
Arezoo Barjasteh, Seyyed Hamid Ghafouri, Malihe Hashemi
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107340-107340
Closed Access | Times Cited: 26
Wind power forecasting: A hybrid forecasting model and multi-task learning-based framework
Yugui Tang, Kuo Yang, Shujing Zhang, et al.
Energy (2023) Vol. 278, pp. 127864-127864
Closed Access | Times Cited: 25
Short-term wind power prediction based on modal reconstruction and CNN-BiLSTM
Zheng Li, Ruosi Xu, Xiaorui Luo, et al.
Energy Reports (2023) Vol. 9, pp. 6449-6460
Open Access | Times Cited: 23
Refined offshore wind speed prediction: Leveraging a two-layer decomposition technique, gated recurrent unit, and kernel density estimation for precise point and interval forecasts
Mie Wang, Feixiang Ying, Qianru Nan
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108435-108435
Closed Access | Times Cited: 12
Data-driven approach for port resilience evaluation
Bingmei Gu, Jiaguo Liu, Xiaoheng Ye, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 186, pp. 103570-103570
Closed Access | Times Cited: 9
A hybrid machine learning forecasting model for photovoltaic power
Zhijian Hou, Yunhui Zhang, Qian Liu, et al.
Energy Reports (2024) Vol. 11, pp. 5125-5138
Open Access | Times Cited: 9
Application of a composite parameter-driven TimeMixer model for Multi-Step prediction of NOx at the SCR Inlet of a 660 MW boiler
Yanpeng Chen, Haiping Xiao, C. X. Hong, et al.
Fuel (2025) Vol. 386, pp. 134060-134060
Closed Access | Times Cited: 1
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