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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:

Multi-step photovoltaic power forecasting using transformer and recurrent neural networks
Jimin Kim, Josue Obregon, Hoonseok Park, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 200, pp. 114479-114479
Closed Access | Times Cited: 16

Showing 16 citing articles:

Short-Medium-Term Solar Irradiance Forecasting with a CEEMDAN-CNN-ATT-LSTM Hybrid Model Using Meteorological Data
M Mora Camacho, Jorge Maldonado-Correa, Joel Torres-Cabrera, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1275-1275
Open Access | Times Cited: 1
Enhancing PV power forecasting accuracy through nonlinear weather correction based on multi-task learning
Zhirui Tian, Yujie Chen, Guangyu Wang
Applied Energy (2025) Vol. 386, pp. 125525-125525
Closed Access | Times Cited: 1
Exploring The Efficiencies Of Bi-LSTM Model and Attention Mechanism In Solar Power Forecasting
Lê Thị Tịnh Minh, Ngo Quang Tri, Nguyen Thi Kim Truc
Journal of Physics Conference Series (2025) Vol. 2949, Iss. 1, pp. 012063-012063
Open Access
ShuffleTransformerMulti-headAttentionNet network for user load forecasting
Linfei Yin, Linyi Ju
Energy (2025), pp. 135537-135537
Closed Access
Short-Term Photovoltaic Power Forecasting Based on VMD-KPCA-LSTM
Pengyuan Kang, Jun Li
Lecture notes in electrical engineering (2025), pp. 372-386
Closed Access
Short-Term Photovoltaic Power Prediction Based on Multi-Stage Temporal Feature Learning
Qiang Wang, Hao Cheng, Wenrui Zhang, et al.
Energy Engineering (2025), pp. 1-10
Open Access
A novel decision support system for enhancing long-term forecast accuracy in virtual power plants using bidirectional long short-term memory networks
Reza Nadimi, Mika Goto
Applied Energy (2025) Vol. 382, pp. 125273-125273
Open Access
CRAformer: a cross-residual attention transformer for solar irradiation multistep forecasting
Zongbin Zhang, Xiaoqiao Huang, Chengli Li, et al.
Energy (2025), pp. 135214-135214
Closed Access
Parallel TimesNet-BiLSTM model for ultra-short-term photovoltaic power forecasting using STL decomposition and auto-tuning
Jianqiang Gong, Zhiguo Qu, Zhiyu Zhu, et al.
Energy (2025), pp. 135286-135286
Closed Access
Photovoltaic power forecasting model employing epoch-dependent adaptive loss weighting and data assimilation
Shixun Fan, Hua Geng, Hengqi Zhang, et al.
Solar Energy (2025) Vol. 290, pp. 113351-113351
Closed Access
Comparative Analysis of Machine Learning Techniques in Predicting Wind Power Generation: A Case Study of 2018–2021 Data from Guatemala
Berny Carrera, Kwanho Kim
Energies (2024) Vol. 17, Iss. 13, pp. 3158-3158
Open Access | Times Cited: 2
A Parallel Prediction Model for Photovoltaic Power Using Multi-Level Attention and Similar Day Clustering
Jinming Gao, Xianlong Su, Changsu Kim, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 3958-3958
Open Access
Research on the Innovation and Effectiveness of the Teaching Mode of Civics and Political Science Courses Supported by Mobile Computing Platforms
Zhifei Lu
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Radian Scaling and Its Application to Enhance Electricity Load Forecasting in Smart Cities Against Concept Drift
Mohd Hafizuddin Bin Kamilin, Shingo Yamaguchi, Mohd Anuaruddin Bin Ahmadon
Smart Cities (2024) Vol. 7, Iss. 6, pp. 3412-3436
Open Access
A data-driven early warning method for thermal runaway during charging of lithium-ion battery packs in electric vehicles
Yuan-Ming Cheng, Dexin Gao, Fengming Zhao, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016233-016233
Closed Access
Leveraging Synthetic Data to Empower AI Models to Predict Photovoltaic Energy Production to Aid in the Decarbonization of Buildings
Youssef Jouane, Saddik Imad, Sow Cheikh Mame, et al.
(2024), pp. 156-160
Closed Access
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