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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:

Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks
K U Jaseena, Binsu C. Kovoor
Energy Conversion and Management (2021) Vol. 234, pp. 113944-113944
Closed Access | Times Cited: 236

Showing 1-25 of 236 citing articles:

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: 156
HBO-LSTM: Optimized long short term memory with heap-based optimizer for wind power forecasting
Ahmed A. Ewees, Mohammed A. A. Al‐qaness, Laith Abualigah, et al.
Energy Conversion and Management (2022) Vol. 268, pp. 116022-116022
Closed Access | Times Cited: 116
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: 100
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: 99
Electricity price forecasting with high penetration of renewable energy using attention-based LSTM network trained by crisscross optimization
Anbo Meng, Peng Wang, Guangsong Zhai, et al.
Energy (2022) Vol. 254, pp. 124212-124212
Closed Access | Times Cited: 92
Multistep short-term wind speed forecasting using transformer
Huijuan Wu, Keqilao Meng, Daoerji Fan, et al.
Energy (2022) Vol. 261, pp. 125231-125231
Open Access | Times Cited: 89
Multi-head attention-based probabilistic CNN-BiLSTM for day-ahead wind speed forecasting
Yiming Zhang, Hao Wang
Energy (2023) Vol. 278, pp. 127865-127865
Closed Access | Times Cited: 83
Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model
Sheng-Xiang Lv, Lin Wang
Energy (2022) Vol. 263, pp. 126100-126100
Closed Access | Times Cited: 81
Near real-time wind speed forecast model with bidirectional LSTM networks
Lionel Joseph, Ravinesh C. Deo, Ramendra Prasad, et al.
Renewable Energy (2023) Vol. 204, pp. 39-58
Closed Access | Times Cited: 81
Hourly day ahead wind speed forecasting based on a hybrid model of EEMD, CNN-Bi-LSTM embedded with GA optimization
Thi Hoai Thu Nguyen, Quoc Bao Phan
Energy Reports (2022) Vol. 8, pp. 53-60
Open Access | Times Cited: 78
Deep learning for renewable energy forecasting: A taxonomy, and systematic literature review
Changtian Ying, Weiqing Wang, Jiong Yu, et al.
Journal of Cleaner Production (2022) Vol. 384, pp. 135414-135414
Closed Access | Times Cited: 75
Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach
Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, Matheus Henrique Dal Molin Ribeiro, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 143, pp. 108504-108504
Closed Access | Times Cited: 73
A dual-optimization wind speed forecasting model based on deep learning and improved dung beetle optimization algorithm
Yanhui Li, Kaixuan Sun, Qi Yao, et al.
Energy (2023) Vol. 286, pp. 129604-129604
Closed Access | Times Cited: 66
An imputation and decomposition algorithms based integrated approach with bidirectional LSTM neural network for wind speed prediction
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, et al.
Energy (2023) Vol. 278, pp. 127799-127799
Closed Access | Times Cited: 50
Forecasting carbon price in China using a novel hybrid model based on secondary decomposition, multi-complexity and error correction
Hong Yang, Xiaodie Yang, Guohui Li
Journal of Cleaner Production (2023) Vol. 401, pp. 136701-136701
Closed Access | Times Cited: 44
Decomposition-based wind speed forecasting model using causal convolutional network and attention mechanism
Zhihao Shang, Yao Chen, Yanhua Chen, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119878-119878
Closed Access | Times Cited: 43
A novel hybrid model based on GA-VMD, sample entropy reconstruction and BiLSTM for wind speed prediction
Zhenjie Liu, Haizhong Liu
Measurement (2023) Vol. 222, pp. 113643-113643
Closed Access | Times Cited: 42
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: 42
A novel ensemble system for short-term wind speed forecasting based on hybrid decomposition approach and artificial intelligence models optimized by self-attention mechanism
Junheng Pang, Sheng Dong
Energy Conversion and Management (2024) Vol. 307, pp. 118343-118343
Closed Access | Times Cited: 22
Multivariate short-term wind speed prediction based on PSO-VMD-SE-ICEEMDAN two-stage decomposition and Att-S2S
Xiaoying Sun, Haizhong Liu
Energy (2024) Vol. 305, pp. 132228-132228
Closed Access | Times Cited: 21
Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection
Lifang Zhang, Jianzhou Wang, Xinsong Niu, et al.
Applied Energy (2021) Vol. 301, pp. 117449-117449
Closed Access | Times Cited: 92
A hybrid deep learning architecture for wind power prediction based on bi-attention mechanism and crisscross optimization
Anbo Meng, Shun Chen, Zuhong Ou, et al.
Energy (2021) Vol. 238, pp. 121795-121795
Closed Access | Times Cited: 85
A systematic literature review of deep learning neural network for time series air quality forecasting
Nur’atiah Zaini, Lee Woen Ean, Ali Najah Ahmed, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 4, pp. 4958-4990
Closed Access | Times Cited: 79
Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 67
Developing a wind power forecasting system based on deep learning with attention mechanism
Chaonan Tian, Tong Niu, Wei Wei
Energy (2022) Vol. 257, pp. 124750-124750
Closed Access | Times Cited: 67
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