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OpenAlex Citation Counts

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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:

An improved feature-time Transformer encoder-Bi-LSTM for short-term forecasting of user-level integrated energy loads
Yan Qin, Zhiying Lu, Hong Liu, et al.
Energy and Buildings (2023) Vol. 297, pp. 113396-113396
Closed Access | Times Cited: 22

Showing 22 citing articles:

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: 28
ISSA-LSTM: A new data-driven method of heat load forecasting for building air conditioning
Mengran Zhou, Ling Wang, Feng Hu, et al.
Energy and Buildings (2024) Vol. 321, pp. 114698-114698
Closed Access | Times Cited: 10
A novel transformer-based neural network under model interpretability for improving wheat yield estimation using remotely sensed multi-variables
Fengwei Guo, Pengxin Wang, Kevin Tansey, et al.
Computers and Electronics in Agriculture (2024) Vol. 223, pp. 109111-109111
Closed Access | Times Cited: 5
Short-term air quality prediction based on EMD-transformer-BiLSTM
Jie Dong, Yaoli Zhang, Jiang Hu
Scientific Reports (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 5
Toward Large Energy Models: A comparative study of Transformers’ efficacy for energy forecasting
Yueyan Gu, Farrokh Jazizadeh, Xuan Wang
Applied Energy (2025) Vol. 384, pp. 125358-125358
Closed Access
Enhancing solar radiation forecasting accuracy with a hybrid SA-Bi-LSTM-Bi-GRU model
Girijapati Sharma, Subhash Chandra, Arvind Yadav, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Evaluating Machine Learning-Based Soft Sensors for Effluent Quality Prediction in Wastewater Treatment Under Variable Weather Conditions
Daniel Voipan, Andreea Elena Voipan, Marian Barbu
Sensors (2025) Vol. 25, Iss. 6, pp. 1692-1692
Open Access
RC parameter identification and load aggregation analysis of air-conditioning systems: A multi-strategy improved black-winged kite algorithm
Mengran Zhou, Chunchen Shi, Feng Hu, et al.
Energy and Buildings (2025), pp. 115641-115641
Closed Access
An online long-term load forecasting method: hierarchical highway network based on crisscross feature collaboration
J.M. Fan, Mingwei Zhong, Mingwei Zhong, et al.
Energy (2024) Vol. 299, pp. 131459-131459
Closed Access | Times Cited: 4
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: 4
Integrated energy short-term multivariate load forecasting based on PatchTST secondary decoupling reconstruction for progressive layered extraction multi-task learning network
Zhijian Qu, Yan Meng, Xinxing Hou, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126446-126446
Closed Access
Explainable multi-step heating load forecasting: Using SHAP values and temporal attention mechanisms for enhanced interpretability
Alexander Neubauer, Stefan Brandt, Martin Kriegel
Energy and AI (2025), pp. 100480-100480
Open Access
Hourly Heat Load Prediction for Residential Buildings Based on Multiple Combination Models: A Comparative Study
Wenhan An, Xiangyuan Zhu, Kaimin Yang, et al.
Buildings (2023) Vol. 13, Iss. 9, pp. 2340-2340
Open Access | Times Cited: 11
Day-ahead load forecast based on Conv2D-GRU_SC aimed to adapt to steep changes in load
Yunxiao Chen, Chaojing Lin, Yilan Zhang, et al.
Energy (2024) Vol. 302, pp. 131814-131814
Closed Access | Times Cited: 3
Solar irradiance prediction with variable time lengths and multi-parameters in full climate conditions based on photovoltaic greenhouse
Yinlong Zhu, Ming Li, Xun Ma, et al.
Energy Conversion and Management (2024) Vol. 315, pp. 118758-118758
Closed Access | Times Cited: 3
Short-term load forecasting method of IES based on RLA neural network with dual signal processing
You Lv, Yijun Shi, Zeyang Li, et al.
Energy and Buildings (2024) Vol. 309, pp. 114074-114074
Closed Access | Times Cited: 2
An IDBO-optimized CNN-BiLSTM model for load forecasting in regional integrated energy systems
Zhonge Su, Guoqiang Zheng, Guodong Wang, et al.
Computers & Electrical Engineering (2024) Vol. 123, pp. 110013-110013
Closed Access | Times Cited: 2
Research on optimization of improved short-term load composite forecasting model based on AM–CNN–Bi–LSTM
Xueyuan Zhao, Xiaoyu Ying, Jian Ge, et al.
AIP Advances (2024) Vol. 14, Iss. 5
Open Access | Times Cited: 1
A reinforcement learning-based online learning strategy for real-time short-term load forecasting
Xinlin Wang, Hao Wang, Shengping Li, et al.
Energy (2024) Vol. 305, pp. 132344-132344
Open Access | Times Cited: 1
Probabilistic load forecasting for integrated energy systems based on quantile regression patch time series Transformer
Wei Zhang, Hongyi Zhan, Hang Sun, et al.
Energy Reports (2024) Vol. 13, pp. 303-317
Closed Access | Times Cited: 1
Leveraging Weather Parameters in Generative Adversarial Networks for Energy Consumption Prediction
More Raju, Jella Komal Kumar, Kommana Supriya, et al.
(2024), pp. 1-5
Closed Access
Multi-area short-term load forecasting based on spatiotemporal graph neural network
Yunlong Lv, Li Wang, Dunhua Long, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109398-109398
Closed Access
A Short-Term Regional Net Load Prediction Method Based on Parallel Fragment Attention-BI-LSTM
Puxin Shi, Lin Geng, Mengfan Zhang, et al.
2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) (2023), pp. 624-629
Closed Access | Times Cited: 1
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