Publication2022
Identification of the Dominant Harmonic Source Type in the Distribution Network Using the Soft Computing Technique
- Affordable and Clean Energy
- Industry, Innovation and Infrastructure
- Partnerships for the Goals
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 1 January 2022
- Level
- International — held abroad
- Journal
- International Transactions on Electrical Energy Systems
- Volume
- 2022
- Published
- 1 January 2022
- DOI
- 10.1155/2022/9995478
- Scopus ID
- 85141910668
- ISSN
- 20507038
- Authors
- 6
- Open access
- Yes
- Citations
- 3
- International co-authorship
- Yes
- Co-author countries
- ET, 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
Wavelet-based technique for identifying dominant harmonic sources in distribution networks supports power system quality and reliable electricity access.
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Signal processing methodology for harmonic analysis in electrical systems represents power systems research.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-publication-v1
Viksit Bharat @2047
vb-2 Thriving and Sustainable Economy
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 7 label. Wavelet-based technique for identifying dominant harmonic sources in distribution networks supports power system quality and reliable electricity access.
- 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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Provenance
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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. “Identification of the Dominant Harmonic Source Type in the Distribution Network Using the Soft Computing Technique”. Kortex.