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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:

Application of Temporal Fusion Transformer for Day-Ahead PV Power Forecasting
Miguel López Santos, Xela García‐Santiago, Fernando Echevarría Camarero, et al.
Energies (2022) Vol. 15, Iss. 14, pp. 5232-5232
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Hypertuned temporal fusion transformer for multi-horizon time series forecasting of dam level in hydroelectric power plants
Stéfano Frizzo Stefenon, Laio Oriel Seman, Luiza Scapinello Aquino da Silva, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 157, pp. 109876-109876
Open Access | Times Cited: 18
Interpretable wind speed forecasting with meteorological feature exploring and two-stage decomposition
Binrong Wu, Sihao Yu, Lu Peng, et al.
Energy (2024) Vol. 294, pp. 130782-130782
Closed Access | Times Cited: 17
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: 17
AI explainability and governance in smart energy systems: A review
Roba Alsaigh, Rashid Mehmood, Iyad Katib
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 32
Deep learning and transfer learning techniques applied to short-term load forecasting of data-poor buildings in local energy communities
Miguel López Santos, Saúl Díaz García, Xela García‐Santiago, et al.
Energy and Buildings (2023) Vol. 292, pp. 113164-113164
Closed Access | Times Cited: 28
Harnessing AI for solar energy: Emergence of transformer models
Muhammad Fainan Hanif, Jianchun Mi
Applied Energy (2024) Vol. 369, pp. 123541-123541
Closed Access | Times Cited: 11
Towards energy efficiency: A comprehensive review of deep learning-based photovoltaic power forecasting strategies
Mauladdawilah Husein, Eulalia Jadraque Gago, Balfaqih Hasan, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33419-e33419
Open Access | Times Cited: 8
Machine learning for quantile regression of biogas production rates in anaerobic digesters
Johannes Sappl, Matthias Harders, Wolfgang Rauch
The Science of The Total Environment (2023) Vol. 872, pp. 161923-161923
Open Access | Times Cited: 22
Spatio-temporal interpretable neural network for solar irradiation prediction using transformer
Yuan Gao, Shohei Miyata, Yuki Matsunami, et al.
Energy and Buildings (2023) Vol. 297, pp. 113461-113461
Closed Access | Times Cited: 17
Attention-Based Models for Multivariate Time Series Forecasting: Multi-step Solar Irradiation Prediction
Sadman Sakib, Mahin Khan Mahadi, Samiur Rashid Abir, et al.
Heliyon (2024) Vol. 10, Iss. 6, pp. e27795-e27795
Open Access | Times Cited: 7
Operational day-ahead photovoltaic power forecasting based on transformer variant
Kejun Tao, Jinghao Zhao, Ye Tao, et al.
Applied Energy (2024) Vol. 373, pp. 123825-123825
Closed Access | Times Cited: 7
Short-Term Load Forecasting for Residential Buildings Based on Multivariate Variational Mode Decomposition and Temporal Fusion Transformer
H. Ye, Qiuyu Zhu, Xuefan Zhang
Energies (2024) Vol. 17, Iss. 13, pp. 3061-3061
Open Access | Times Cited: 6
An interpretable data-driven method for degradation prediction of proton exchange membrane fuel cells based on temporal fusion transformer and covariates
Hong-Wei Li, Bin-Xin Qiao, Zhicheng Hou, et al.
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 66, pp. 25958-25971
Closed Access | Times Cited: 16
Forecasting solar irradiance with hybrid classical–quantum models: A comprehensive evaluation of deep learning and quantum-enhanced techniques
Mushrafi Munim Sushmit, I.M. Mahbubul
Energy Conversion and Management (2023) Vol. 294, pp. 117555-117555
Closed Access | Times Cited: 16
Interpretable corn future price forecasting with multivariate time series
Binrong Wu, Zhongrui Wang, Lin Wang
Journal of Forecasting (2024) Vol. 43, Iss. 5, pp. 1575-1594
Closed Access | Times Cited: 5
AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning
Ayesha Nadeem, Muhammad Farhan Hanif, Muhammad Sabir Naveed, et al.
AIMS Geosciences (2024) Vol. 10, Iss. 4, pp. 684-734
Open Access | Times Cited: 5
Deep learning model-transformer based wind power forecasting approach
Sheng Huang, Yan Chang, Yinpeng Qu
Frontiers in Energy Research (2023) Vol. 10
Open Access | Times Cited: 12
Explainable time-varying directional representations for photovoltaic power generation forecasting
Zhijin Wang, Hanjing Liu, Senzhen Wu, et al.
Journal of Cleaner Production (2024) Vol. 468, pp. 143056-143056
Open Access | Times Cited: 4
Power substation load forecasting using interpretable transformer-based temporal fusion neural networks
Andreia. B. A. Ferreira, Jônatas Boás Leite, Denis H. P. Salvadeo
Electric Power Systems Research (2024) Vol. 238, pp. 111169-111169
Closed Access | Times Cited: 4
A novel data-driven model for explainable hog price forecasting
Binrong Wu, Huanze Zeng, Huanling Hu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Dual-gate Temporal Fusion Transformer for estimating large-scale land surface solar irradiation
Xuan Liao, Man Sing Wong, Rui Zhu
Renewable and Sustainable Energy Reviews (2025) Vol. 214, pp. 115510-115510
Closed Access
Deep Learning and Machine Learning Insights Into the Global Economic Drivers of the Bitcoin Price
Nezir Köse, Yunus Emre Gür, Emre Ünal
Journal of Forecasting (2025)
Open Access
A novel PV power prediction method with TCN-Wpsformer model considering data repair and FCM cluster
Tong Yang, Minan Tang, Hanting Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Distributed photovoltaic ultra-short-term power prediction using whole-sky images and multi-source data
Qinlong Zhang, Beiping Hou, Wen Zhu, et al.
Electrical Engineering (2025)
Closed Access
GNN-enhanced temporal patch segmentation and frequency fusion model for robust solar energy production forecasting
Sarvarbek Erniyazov, Chang Gyoon Lim
Energy Reports (2025) Vol. 13, pp. 4962-4984
Closed Access
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