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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:

A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting
Hao Yan, Tian Cheng-shi
Applied Energy (2019) Vol. 238, pp. 368-383
Closed Access | Times Cited: 222

Showing 1-25 of 222 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: 861
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
Tanveer Ahmad, Hongcai Zhang, Biao Yan
Sustainable Cities and Society (2020) Vol. 55, pp. 102052-102052
Closed Access | Times Cited: 368
Data processing strategies in wind energy forecasting models and applications: A comprehensive review
Hui Liu, Chao Chen
Applied Energy (2019) Vol. 249, pp. 392-408
Closed Access | Times Cited: 295
Taxonomy research of artificial intelligence for deterministic solar power forecasting
Huaizhi Wang, Yangyang Liu, Bin Zhou, et al.
Energy Conversion and Management (2020) Vol. 214, pp. 112909-112909
Closed Access | Times Cited: 263
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: 258
Wind power forecasting using attention-based gated recurrent unit network
Zhewen Niu, Zeyuan Yu, Wenhu Tang, et al.
Energy (2020) Vol. 196, pp. 117081-117081
Closed Access | Times Cited: 252
Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning
Haixiang Zang, Lilin Cheng, Tao Ding, et al.
International Journal of Electrical Power & Energy Systems (2019) Vol. 118, pp. 105790-105790
Closed Access | Times Cited: 221
A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting
Xinsong Niu, Jiyang Wang
Applied Energy (2019) Vol. 241, pp. 519-539
Closed Access | Times Cited: 192
An improved residual-based convolutional neural network for very short-term wind power forecasting
Ceyhun Yıldız, Hakan Açıkgöz, Deniz Korkmaz, et al.
Energy Conversion and Management (2020) Vol. 228, pp. 113731-113731
Closed Access | Times Cited: 192
Long short term memory–convolutional neural network based deep hybrid approach for solar irradiance forecasting
Pratima Kumari, Durga Toshniwal
Applied Energy (2021) Vol. 295, pp. 117061-117061
Closed Access | Times Cited: 187
A novel hybrid system based on multi-objective optimization for wind speed forecasting
Chunying Wu, Jianzhou Wang, Xuejun Chen, et al.
Renewable Energy (2019) Vol. 146, pp. 149-165
Closed Access | Times Cited: 184
COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications
Mohamad Abou Houran, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, et al.
Applied Energy (2023) Vol. 349, pp. 121638-121638
Closed Access | Times Cited: 177
A review on multi-objective optimization framework in wind energy forecasting techniques and applications
Hui Liu, Ye Li, Zhu Duan, et al.
Energy Conversion and Management (2020) Vol. 224, pp. 113324-113324
Closed Access | Times Cited: 154
Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China
Wendong Yang, Jianzhou Wang, Haiyan Lu, et al.
Journal of Cleaner Production (2019) Vol. 222, pp. 942-959
Open Access | Times Cited: 149
Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features
Zeni Zhao, Sining Yun, Lingyun Jia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105982-105982
Closed Access | Times Cited: 148
Short-term wind power prediction based on EEMD–LASSO–QRNN model
Yaoyao He, Yun Wang
Applied Soft Computing (2021) Vol. 105, pp. 107288-107288
Closed Access | Times Cited: 121
Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Hong Fan, et al.
Applied Energy (2022) Vol. 314, pp. 118851-118851
Closed Access | Times Cited: 102
A hybrid attention-based deep learning approach for wind power prediction
Zhengjing Ma, Gang Mei
Applied Energy (2022) Vol. 323, pp. 119608-119608
Closed Access | Times Cited: 92
Energy consumption and carbon emissions forecasting for industrial processes: Status, challenges and perspectives
Yusha Hu, Yi Man
Renewable and Sustainable Energy Reviews (2023) Vol. 182, pp. 113405-113405
Closed Access | Times Cited: 80
Efficient Short-Term Electricity Load Forecasting for Effective Energy Management
Zulfiqar Ahmad Khan, Amin Ullah, Ijaz Ul Haq, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102337-102337
Closed Access | Times Cited: 76
Predicting photovoltaic power production using high-uncertainty weather forecasts
Tomas Polasek, Martin Čadík
Applied Energy (2023) Vol. 339, pp. 120989-120989
Closed Access | Times Cited: 42
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
A hybrid framework for carbon trading price forecasting: The role of multiple influence factor
Hao Yan, Tian Cheng-shi
Journal of Cleaner Production (2020) Vol. 262, pp. 120378-120378
Closed Access | Times Cited: 135
Wind power forecasting based on singular spectrum analysis and a new hybrid Laguerre neural network
Cong Wang, Hongli Zhang, Ping Ma
Applied Energy (2019) Vol. 259, pp. 114139-114139
Closed Access | Times Cited: 132
A hybrid data mining driven algorithm for long term electric peak load and energy demand forecasting
Mohammad-Rasool Kazemzadeh, Ali Amjadian, Turaj Amraee
Energy (2020) Vol. 204, pp. 117948-117948
Closed Access | Times Cited: 131
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