Ensemble Learning-Based Dynamic Line Rating Forecasting Under Cyberattacks-Reference-Cited by-同舟云学术

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Ensemble Learning-Based Dynamic Line Rating Forecasting Under Cyberattacks

Published:2022-02 Issue:1 Volume:37 Page:230-238
ISSN:0885-8977
Container-title:IEEE Transactions on Power Delivery
language:
Short-container-title:IEEE Trans. Power Delivery

Author:

Ahmadi Amirhossein^ORCID,Nabipour Mojtaba^ORCID,Mohammadi-Ivatloo Behnam^ORCID,Vahidinasab Vahid^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/61/9690067/09343754.pdf?arnumber=9343754

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Resiliency of forecasting methods in different application areas of smart grids: A review and future prospects;Engineering Applications of Artificial Intelligence;2024-09

2. Data-driven learning-based classification model for mitigating false data injection attacks on dynamic line rating systems;Sustainable Energy, Grids and Networks;2024-06

3. Optimizing Grid With Dynamic Line Rating of Conductors: A Comprehensive Review;IEEE Access;2024

4. Interval Prediction of Dynamic Line Rating of OHL Based on Improved Affine Arithmetic;Lecture Notes in Electrical Engineering;2024

5. Framework to Leverage Digitalization of Power Systems within the Context of Energy Transition;2024

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