Deep Learning Method with Application to Neutral-to-ground Voltage (NTGV) Classification
The excessive neutral-to-ground voltage (NTGV) occurring on the secondary distribution system (SDS) may result in unnecessary losses and a safety hazard issue. This disrupting voltage is triggered by a number of reasons that are difficult to identify. This paper proposes an approach based on deep le...
| 出版年: | 2024 IEEE International Conference on Power and Energy, PECon 2024 |
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| 第一著者: | |
| フォーマット: | Conference paper |
| 言語: | English |
| 出版事項: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217435950&doi=10.1109%2fPECON62060.2024.10826615&partnerID=40&md5=06e1a99ca7ed3e9e96723465ca753efa |