FExWaveS application for voltage dips origin assessment: optimization of the tool in views of its integration into the QuEEN monitoring system
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9626829/9626833/09626996.pdf?arnumber=9626996
Cited by 5 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. Voltage Dip Mitigation by Series Dynamic Voltage Restorer in Electrical Power System Connected with a Sensitive Resistive Load;2023 International Conference on Power, Energy and Innovations (ICPEI);2023-10-18
2. What Else Do the Deep Learning Techniques Tell Us about Voltage Dips Validity? Regional-Level Assessments with the New QuEEN System Based on Real Network Configurations;Energies;2023-01-21
3. Highlighting of local Power Quality states with the new QuEEN system, enhanced with Deep Learning and Machine Learning algorithms;2022 AEIT International Annual Conference (AEIT);2022-10-03
4. Power Quality Data Platform for Analysis and Location of Voltage Dips: a Preliminary Study;2022 20th International Conference on Harmonics & Quality of Power (ICHQP);2022-05-29
5. Advanced Machine Learning Functionalities in the Medium Voltage Distributed Monitoring System QuEEN: A Macro-Regional Voltage Dips Severity Analysis;Energies;2021-11-27
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