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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:

Adaptive short-term wind power forecasting with concept drifts
Yanting Li, Zhenyu Wu, Yan Su
Renewable Energy (2023) Vol. 217, pp. 119146-119146
Closed Access | Times Cited: 12

Showing 12 citing articles:

Ultra-short-term wind power forecasting jointly driven by anomaly detection, clustering and graph convolutional recurrent neural networks
Jianzhou Wang, Menggang Kou, Runze Li, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103137-103137
Closed Access | Times Cited: 1
Mitigating concept drift challenges in evolving smart grids: An adaptive ensemble LSTM for enhanced load forecasting
Abdul Azeem, Idris Ismail, Syed Sheeraz Mohani, et al.
Energy Reports (2025) Vol. 13, pp. 1369-1383
Closed Access
Two-stage correction prediction of wind power based on numerical weather prediction wind speed superposition correction and improved clustering
Mao Yang, Yunfeng Guo, Fulin Fan, et al.
Energy (2024) Vol. 302, pp. 131797-131797
Closed Access | Times Cited: 2
Can we trust explainable artificial intelligence in wind power forecasting?
Wenlong Liao, Jiannong Fang, Lin Ye, et al.
Applied Energy (2024) Vol. 376, pp. 124273-124273
Open Access | Times Cited: 2
A novel data-driven tighten-constraint method for wind-hydro hybrid power system to improve day-ahead plan performance in real-time operation
Chunyang Lai, Behzad Kazemtabrizi
Applied Energy (2024) Vol. 371, pp. 123616-123616
Open Access | Times Cited: 2
Double Robust Federated Digital Twin Modeling in Smart Grid
Yang Zhou, Yang Ge, Li Jia
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 39913-39931
Closed Access | Times Cited: 1
Interpretable extreme wind speed prediction with concept bottleneck models
Clara Álvarez-Rodríguez, Emilio Parrado-Hernández, Jorge Pérez‐Aracil, et al.
Renewable Energy (2024) Vol. 231, pp. 120935-120935
Open Access | Times Cited: 1
Transfer-learning enabled adaptive framework for load forecasting under concept-drift challenges in smart-grids across different-generation-modalities
Abdul Azeem, Idris Ismail, Syed Muslim Jameel, et al.
Energy Reports (2024) Vol. 12, pp. 3519-3532
Open Access
Short-Term Wind Power Forecasting Based on OMNIC and Adaptive Fractional Order Generalized Pareto Motion Model
Fan Cai, Dongdong Chen, Yuesong Jiang, et al.
Energies (2024) Vol. 17, Iss. 23, pp. 5848-5848
Open Access
Double Robust Federated Digital Twin Modeling in Smart Grid
Yang Zhou, Yang Ge, Jia Li
(2024)
Closed Access
Concept drift adaptation with scarce labels: A novel approach based on diffusion and adversarial learning
Liheng Yuan, Fanghua Ye, Wei Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109105-109105
Closed Access
A Novel Data-Driven Tighten-Constraint Method for Wind-Hydro Hybrid Power System to Improve Day-Ahead Plan Performance in Real-Time Operation
Chunyang Lai, Behzad Kazemtabrizi
(2023)
Open Access
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