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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:

Short-term power load forecasting for combined heat and power using CNN-LSTM enhanced by attention mechanism
Anping Wan, Qing Chang, Khalil AL-Bukhaiti, et al.
Energy (2023) Vol. 282, pp. 128274-128274
Closed Access | Times Cited: 162

Showing 1-25 of 162 citing articles:

A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China
Hanxiao Shi, Anlei Wei, Xiaozhen Xu, et al.
Journal of Environmental Management (2024) Vol. 352, pp. 120131-120131
Closed Access | Times Cited: 54
Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition
Sinvaldo Rodrigues Moreno, Laio Oriel Seman, Stéfano Frizzo Stefenon, et al.
Energy (2024) Vol. 292, pp. 130493-130493
Closed Access | Times Cited: 46
CNNs-Transformer based day-ahead probabilistic load forecasting for weekends with limited data availability
Zhirui Tian, Weican Liu, Wenqian Jiang, et al.
Energy (2024) Vol. 293, pp. 130666-130666
Closed Access | Times Cited: 34
Energy Forecasting: A Comprehensive Review of Techniques and Technologies
Aristeidis Mystakidis, Paraskevas Koukaras, Nikolaos Tsalikidis, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1662-1662
Open Access | Times Cited: 31
Wind Power Forecasting in the presence of data scarcity: A very short-term conditional probabilistic modeling framework
Sen Wang, Wenjie Zhang, Yonghui Sun, et al.
Energy (2024) Vol. 291, pp. 130305-130305
Closed Access | Times Cited: 18
A multi-energy load forecasting method based on complementary ensemble empirical model decomposition and composite evaluation factor reconstruction
Kang Li, Pengfei Duan, Xiaodong Cao, et al.
Applied Energy (2024) Vol. 365, pp. 123283-123283
Closed Access | Times Cited: 17
Time Series Stock Price Forecasting Based on Genetic Algorithm (GA)-Long Short-Term Memory Network (LSTM) Optimization
Xinye Sha
Advances in Economics Management and Political Sciences (2024) Vol. 91, Iss. 1, pp. 142-149
Open Access | Times Cited: 17
Improving short-term offshore wind speed forecast accuracy using a VMD-PE-FCGRU hybrid model
Zhipeng Gong, Anping Wan, Yunsong Ji, et al.
Energy (2024) Vol. 295, pp. 131016-131016
Closed Access | Times Cited: 16
A novel heat load prediction model of district heating system based on hybrid whale optimization algorithm (WOA) and CNN-LSTM with attention mechanism
Xuyang Cui, Junda Zhu, Lifu Jia, et al.
Energy (2024), pp. 133536-133536
Closed Access | Times Cited: 16
Short-term power load forecasting using bidirectional gated recurrent units-based adaptive stacked autoencoder
Jizhe Dong, Yi-Wen Jiang, Peiguang Chen, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 165, pp. 110459-110459
Closed Access | Times Cited: 2
Enhancing accuracy in point-interval load forecasting: A new strategy based on data augmentation, customized deep learning, and weighted linear error correction
Weican Liu, Zhirui Tian, Yuyan Qiu
Expert Systems with Applications (2025), pp. 126686-126686
Closed Access | Times Cited: 2
Estimating reference crop evapotranspiration using improved convolutional bidirectional long short-term memory network by multi-head attention mechanism in the four climatic zones of China
Juan Dong, Liwen Xing, Ningbo Cui, et al.
Agricultural Water Management (2024) Vol. 292, pp. 108665-108665
Open Access | Times Cited: 14
A framework for electricity load forecasting based on attention mechanism time series depthwise separable convolutional neural network
Huifeng Xu, Feihu Hu, Xinhao Liang, et al.
Energy (2024) Vol. 299, pp. 131258-131258
Closed Access | Times Cited: 14
Hybrid modeling for vehicle lateral dynamics via AGRU with a dual-attention mechanism under limited data
Jianwei Chen, Chuanqiang Yu, Yafei Wang, et al.
Control Engineering Practice (2024) Vol. 151, pp. 106015-106015
Closed Access | Times Cited: 14
Residential net load interval prediction based on stacking ensemble learning
Yan He, Hongli Zhang, Yingchao Dong, et al.
Energy (2024) Vol. 296, pp. 131134-131134
Closed Access | Times Cited: 13
A hybrid prediction model of improved bidirectional long short-term memory network for cooling load based on PCANet and attention mechanism
Xiuying Yan, Xingxing Ji, Qinglong Meng, et al.
Energy (2024) Vol. 292, pp. 130388-130388
Closed Access | Times Cited: 11
Short-term integrated forecasting method for wind power, solar power, and system load based on variable attention mechanism and multi-task learning
Han Wang, Jie Yan, Jiawei Zhang, et al.
Energy (2024) Vol. 304, pp. 132188-132188
Closed Access | Times Cited: 11
Deep learning-driven hybrid model for short-term load forecasting and smart grid information management
Xinyu Wen, Jiacheng Liao, Qingyi Niu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Optimal planning for integrated electricity and heat systems using CNN-BiLSTM-attention network forecasts
Feng Li, Shiheng Liu, Tian-Hu Wang, et al.
Energy (2024) Vol. 309, pp. 133042-133042
Closed Access | Times Cited: 10
Enhancing building energy consumption prediction introducing novel occupant behavior models with sparrow search optimization and attention mechanisms: A case study for forty-five buildings in a university community
Chengyu Zhang, Zhiwen Luo, Yacine Rezgui, et al.
Energy (2024) Vol. 294, pp. 130896-130896
Closed Access | Times Cited: 8
A load forecasting approach for integrated energy systems based on aggregation hybrid modal decomposition and combined model
Haoyu Chen, Huang Hai, Yong Zheng, et al.
Applied Energy (2024) Vol. 375, pp. 124166-124166
Closed Access | Times Cited: 8
Optimization of power system load forecasting and scheduling based on artificial neural networks
Jiangbo Jing, Hongyu Di, Ting Wang, et al.
Energy Informatics (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Enhanced load forecasting for distributed multi-energy system: A stacking ensemble learning method with deep reinforcement learning and model fusion
Xiaoxiao Ren, Xin Tian, Kai Wang, et al.
Energy (2025), pp. 135031-135031
Closed Access | Times Cited: 1
A multi-energy loads forecasting model based on dual attention mechanism and multi-scale hierarchical residual network with gated recurrent unit
Wenhao Chen, Rong Fei, Chuan Lin
Energy (2025) Vol. 320, pp. 134975-134975
Closed Access | Times Cited: 1
An Informer Model for Very Short-Term Power Load Forecasting
Zhihe Yang, Jiandun Li, Haitao Wang, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1150-1150
Open Access | Times Cited: 1
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