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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:

A novel day-ahead regional and probabilistic wind power forecasting framework using deep CNNs and conformalized regression forests
Jef Jonkers, Diego Nieves Avendano, Glenn Van Wallendael, et al.
Applied Energy (2024) Vol. 361, pp. 122900-122900
Open Access | Times Cited: 16

Showing 16 citing articles:

A reconstruction-based secondary decomposition-ensemble framework for wind power forecasting
Runkun Cheng, Di Yang, Da Liu, et al.
Energy (2024) Vol. 308, pp. 132895-132895
Closed Access | Times Cited: 6
Short-term wind power forecasting based on multi-scale receptive field-mixer and conditional mixture copula
Jinchang Li, Jiapeng Chen, Z. Q. Chen, et al.
Applied Soft Computing (2024) Vol. 164, pp. 112007-112007
Closed Access | Times Cited: 5
EDformer family: End-to-end multi-task load forecasting frameworks for day-ahead economic dispatch
Zhirui Tian, Weican Liu, Jiahao Zhang, et al.
Applied Energy (2025) Vol. 383, pp. 125319-125319
Closed Access
Robust deep learning model with attention framework for spatiotemporal forecasting of solar and wind energy production
Md. Shadman Abid, Razzaqul Ahshan, Mohammed Al‐Abri, et al.
Energy Conversion and Management X (2025), pp. 100919-100919
Open Access
Hybrid forecasting of demand flexibility: A top-down approach for thermostatically controlled loads
Luca Massidda, Marino Marrocu
Energy and AI (2025), pp. 100487-100487
Open Access
WindDragon: automated deep learning for regional wind power forecasting
Julie Keisler, Étienne Le Naour
Environmental Data Science (2025) Vol. 4
Open Access
ISI Net: A novel paradigm integrating interpretability and intelligent selection in ensemble learning for accurate wind power forecasting
Bingjie Liang, Zhirui Tian
Energy Conversion and Management (2025) Vol. 332, pp. 119752-119752
Closed Access
A correction method for wind power forecast considering the dynamic process of wind turbine icing
Ming Yang, Hao Min Zhou, Menglin Li, et al.
Electric Power Systems Research (2025) Vol. 246, pp. 111669-111669
Closed Access
A Novel Hybrid Method for Multi-Step Short-Term 70 m Wind Speed Prediction Based on Modal Reconstruction and STL-VMD-BiLSTM
Xuanfang Da, Dong Ye, Yanbo Shen, et al.
Atmosphere (2024) Vol. 15, Iss. 8, pp. 1014-1014
Open Access | Times Cited: 3
Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network
Kai Bai, Siyi Jin, Zeqing Zhang, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 6966-6966
Open Access | Times Cited: 3
Joint Short-term Power Forecasting of Hydro-Wind-Photovoltaic Considering Spatiotemporal Delay of Weather Processes
Chang Ge, Jie Yan, Haoran Zhang, et al.
Renewable Energy (2024), pp. 121679-121679
Closed Access | Times Cited: 2
Physics-informed reinforcement learning for probabilistic wind power forecasting under extreme events
Yanli Liu, Junyi Wang, L. Liu
Applied Energy (2024) Vol. 376, pp. 124068-124068
Closed Access | Times Cited: 1
Developing an interpretable wind power forecasting system using a transformer network and transfer learning
Chaonan Tian, Tong Niu, Tao Li
Energy Conversion and Management (2024) Vol. 323, pp. 119155-119155
Closed Access | Times Cited: 1
A Non-stationary Transformer model for power forecasting with dynamic data distillation and wake effect correction suitable for large wind farms
Guopeng Zhu, Weiqing Jia, Lifeng Cheng, et al.
Energy Conversion and Management (2024) Vol. 324, pp. 119292-119292
Closed Access | Times Cited: 1
A Novel Combined Model Integrating Twin Compensation and Dung Beetle Optimizer for Photovoltaic Power Prediction
Linlin Fu, Jing Qian, Yun Zeng, et al.
(2024)
Closed Access
A Novel Combined Model Integrating Twin Compensation and Dung Beetle Optimizer for Photovoltaic Power Prediction
Linlin Fu, Jing Qian, Yun Zeng, et al.
(2024)
Closed Access
CEEMDAN-RIME–Bidirectional Long Short-Term Memory Short-Term Wind Speed Prediction for Wind Farms Incorporating Multi-Head Self-Attention Mechanism
Wenlu Yang, Zhanqiang Zhang, Keqilao Meng, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8337-8337
Open Access
Data-Driven Personalized Energy Consumption Range Estimation for Plug-in Hybrid Electric Vehicles in Urban Traffic
Mehmet Fatih Ozkan, James T. Farrell, Marcello Telloni, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 28, pp. 162-167
Open Access
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