Operational experience and maintenance of online expert system for customer restoration and fault testing-Reference-Cited by-同舟云学术

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Operational experience and maintenance of online expert system for customer restoration and fault testing

Published:1992-05 Issue:2 Volume:7 Page:835-842
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Ma T.-K.,Liu C.-C.,Tsai M.-S.,Rogers R.,Muchlinski S.L.,Dodge J.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx1/59/3808/00141793.pdf?arnumber=141793

Cited by 36 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. A Monte Carlo tree search-based method for online decision making of generator startup sequence considering hot start;International Journal of Electrical Power & Energy Systems;2020-10

2. Two‐stage restoration strategies for power systems considering coordinated dispatch between plug‐in electric vehicles and wind power units;IET Smart Grid;2020-02-11

3. Scheduling Post-Disaster Repairs in Electricity Distribution Networks;IEEE Transactions on Power Systems;2019-07

4. Optimisation and comprehensive evaluation of alternative energising paths for power system restoration;IET Generation, Transmission & Distribution;2019-04-18

5. An Integrated Approach for Power System Restoration Planning;Proceedings of the IEEE;2017-07

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