Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Deep Federated Learning-Based Privacy-Preserving Wind Power Forecasting
Amirhossein Ahmadi, Mohammad Talaei, Masod Sadipour, et al.
IEEE Access (2022) Vol. 11, pp. 39521-39530
Open Access | Times Cited: 24

Showing 24 citing articles:

A bi-level data-driven framework for fault-detection and diagnosis of HVAC systems
Paria Movahed, Saman Taheri, Ali Razban
Applied Energy (2023) Vol. 339, pp. 120948-120948
Open Access | Times Cited: 34
Ultra-short-term wind power forecasting based on personalized robust federated learning with spatial collaboration
Yongning Zhao, Shiji Pan, Yuan Zhao, et al.
Energy (2023) Vol. 288, pp. 129847-129847
Closed Access | Times Cited: 18
Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting
Syed Muhammad Salman Bukhari, Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, et al.
Renewable energy focus (2023) Vol. 48, pp. 100520-100520
Open Access | Times Cited: 16
A review of federated learning in renewable energy applications: Potential, challenges, and future directions
Albin Grataloup, Stefan Jonas, Angela Meyer
Energy and AI (2024) Vol. 17, pp. 100375-100375
Open Access | Times Cited: 6
Deep Learning for Wind and Solar Energy Forecasting in Hydrogen Production
Artūrs Ņikuļins, Kaspars Sudars, Edgars Edelmers, et al.
Energies (2024) Vol. 17, Iss. 5, pp. 1053-1053
Open Access | Times Cited: 4
Centralised vs. Decentralised Federated Load Forecasting: Who Holds the Key to Adversarial Attack Robustness?
Habib Ullah Manzoor, Sajjad Hussain, David Flynn, et al.
(2024)
Open Access | Times Cited: 4
A Review of Distributed Energy Systems: Technologies, Classification, and Applications
Qun Cheng, Zhengping Zhang, Yanwei Wang, et al.
Sustainability (2025) Vol. 17, Iss. 4, pp. 1346-1346
Open Access
Harnessing Tc-Ls-Ga-At: a novel deep learning based hybrid approach for wind power forecasting
Kartik Bansal, Kamlesh Bisht, Priya Singh
International Journal of Systems Assurance Engineering and Management (2025)
Closed Access
Centralised vs. decentralised federated load forecasting in smart buildings: Who holds the key to adversarial attack robustness?
Habib Ullah Manzoor, Sajjad Hussain, David Flynn, et al.
Energy and Buildings (2024) Vol. 324, pp. 114871-114871
Open Access | Times Cited: 3
FedWindT: Federated learning assisted transformer architecture for collaborative and secure wind power forecasting in diverse conditions
Qumrish Arooj
Energy (2024) Vol. 309, pp. 133072-133072
Closed Access | Times Cited: 3
A differential privacy-preserving federated learning scheme with predictive maintenance of wind turbines based on deep learning for feature compression and anomaly detection with state assessment
Huan Chen, Hsin-Yao Hsu, Jia‐You Hsieh, et al.
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 7, pp. 3413-3429
Closed Access | Times Cited: 2
Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review
Filippo Sanfilippo, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, et al.
Energy and AI (2024) Vol. 18, pp. 100438-100438
Open Access | Times Cited: 1
FedGrid: A Secure Framework with Federated Learning for Energy Optimization in the Smart Grid
Harshit Gupta, Piyush Agarwal, Kartik Gupta, et al.
Energies (2023) Vol. 16, Iss. 24, pp. 8097-8097
Open Access | Times Cited: 4
Exploring Deep Federated Learning for the Internet of Things: A GDPR-Compliant Architecture
Zahra Abbas, Sunila Fatima Ahmad, Madiha Haider Syed, et al.
IEEE Access (2023) Vol. 12, pp. 10548-10574
Open Access | Times Cited: 4
Combining Active Privacy Clustering and Knowledge Merge for Transferable Federated Learning in Wind Power Prediction
Feiyun Cong, Rong Wu, Wei Zhong, et al.
(2024)
Closed Access
Federated Learning and Unlearning as Enablers of Wind Turbine Digital Twins
Florian Stadtmann, Adil Rasheed
Journal of Physics Conference Series (2024) Vol. 2767, Iss. 5, pp. 052031-052031
Open Access
Asset bundling for hierarchical forecasting of wind power generation
Hanyu Zhang, Mathieu Tanneau, Chaofan Huang, et al.
Electric Power Systems Research (2024) Vol. 235, pp. 110771-110771
Closed Access
A Transferable Federated Learning Approach for Wind Power Prediction Based on Active Privacy Clustering and Knowledge Merge
Feiyun Cong, Rong Wu, Wei Zhong, et al.
Energy (2024), pp. 134044-134044
Closed Access
Federated Deep Reinforcement Learning for Decentralized VVO of BTM DERs
Abhijith Ravi, Linquan Bai, Jianming Lian, et al.
(2024), pp. 1-6
Closed Access
Application of Artificial Intelligence for Predicting CO2 Emission Using Weighted Multi-Task Learning
Mohammad Talaei, Majid Astaneh, Elmira Ghiasabadi Farahani, et al.
Energies (2023) Vol. 16, Iss. 16, pp. 5956-5956
Open Access | Times Cited: 1
Extended Neighboring Extremal Optimal Control With State and Preview Perturbations
Amin Vahidi‐Moghaddam, Kaixiang Zhang, Zhaojian Li, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 4, pp. 5611-5622
Open Access | Times Cited: 1
Anomalous Update Identification Based on Cosine Similarity for Collaborative Wind Power Forecasting
Shiji Pan, Yongning Zhao, Yao Ru, et al.
2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (2023), pp. 1666-1671
Closed Access
Assessing Probabilistic Load Forecasting Accuracy Against Customer Privacy Constraints At a Low Aggregate Level
Seyed‐Ehsan Razavi, David B. Smith, Manickam Minakshi, et al.
2022 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia) (2023), pp. 1-5
Closed Access
Federated Learning Based Privacy-Preserving Renewable Energy Consumption for the Local Community
Renjie Wei, Yishen Wang, Xiaohui Wang, et al.
2022 4th International Conference on Power and Energy Technology (ICPET) (2023), pp. 1594-1599
Closed Access
Performance Enhancement of Wind Power Forecast System Using AI Approach
Krishan Kumar, Priti Prabhakar, Avnesh Verma
(2023), pp. 1-5
Closed Access
Page 1

Scroll to top