Reliability Evaluation on a Joint Machine Learning and Optimization Framework-Reference-Cited by-同舟云学术

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Reliability Evaluation on a Joint Machine Learning and Optimization Framework

Published:2021-01 Issue:1 Volume:36 Page:49-57
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Lin Teng^ORCID,Shang Ce^ORCID

Funder

National Natural Science Foundation of China

Shanghai Sailing Program

Young Elite Scientists Sponsorship Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/59/9316338/09136915.pdf?arnumber=9136915

Cited by 11 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. Reliability evaluation method for distribution network with distributed generations considering feeder fault recovery and network reconfiguration;IET Renewable Power Generation;2023-10

2. A Data-Driven Reliability Assessment Method for Composite Power Systems;2023 3rd International Conference on Energy, Power and Electrical Engineering (EPEE);2023-09-15

3. Reliability Evaluation of Park-level Electricity-Hydrogen Systems using Explainable Graph Neural Network;IEEE Transactions on Smart Grid;2023

4. Assessing Bulk Power System Reliability by End-to-End Line Maintenance-Aware Learning;IEEE Access;2023

5. Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality;Patterns;2022-12

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