Improving emergency storm planning using machine learning-Reference-Cited by-同舟云学术

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Improving emergency storm planning using machine learning

Published:2014-04 Issue: Volume: Page:
ISSN:
Container-title:2014 IEEE PES T&D Conference and Exposition
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Author:

Angalakudati Mallikarjun,Calzada Jorge,Farias Vivek,Gonynor Jonathan,Monsch Matthieu,Papush Anna,Perakis Georgia,Raad Nicolas,Schein Jeremy,Warren Cheryl,Whipple Sean,Williams John

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6855589/6863147/06863406.pdf?arnumber=6863406

Cited by 12 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 Data-Driven Decision Support Tool for Anticipating Tropical Storm Impacts to the United States Power Grid;IEEE Access;2024

2. Machine Learning-Based Restoration Forecast with Predictive Power Outage for Diverse Power Outage Scenarios;2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG);2023-12-03

3. Machine Learning Applications to Ice-Storm Power Outage Forecasting for Distribution System Resilience Enhancement;2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET);2023-05-19

4. Machine Learning for Emergency Management: A Survey and Future Outlook;Proceedings of the IEEE;2023-01

5. Analysis of Correlation between Cold Weather Meteorological Variables and Electricity Outages;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

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