Publication2018
A novel single-ended fault location scheme for parallel transmission lines using k-nearest neighbor algorithm
The record
- Type
- Publication
- Date
- 1 July 2018
- Level
- National
- Journal
- Computers and Electrical Engineering
- Volume
- 69
- Pages
- 41-53
- Published
- 1 July 2018
- DOI
- 10.1016/j.compeleceng.2018.05.024
- Scopus ID
- 85047634438
- ISSN
- 00457906
- Authors
- 2
- Open access
- No
- Citations
- 45
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
7.1 Ensure universal access to affordable, reliable and modern energy services
k-Nearest neighbor algorithm for rapid identification of electrical transmission line faults.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.4 Infrastructure and connectivity
Infrastructure reliability and power grid monitoring using machine learning fault location estimation schemes.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “A novel single-ended fault location scheme for parallel transmission lines using k-nearest neighbor algorithm”. Kortex.