Publication2020
Comparative Analysis between Binary Grey Wolf and Binary Bat Optimization for Optimal PMU Placement with Complete Observability
- Affordable and Clean Energy
- Industry, Innovation and Infrastructure
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 26 December 2020
- Level
- National
- Journal
- Proceedings of 2020 IEEE International Women in Engineering Wie Conference on Electrical and Computer Engineering Wiecon Ece 2020
- Pages
- 422-425
- Published
- 26 December 2020
- DOI
- 10.1109/wiecon-ece52138.2020.9397947
- Scopus ID
- 85104626387
- Authors
- 2
- Open access
- No
- Citations
- 3
- 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 Ensure access to affordable, reliable, sustainable and modern energy for all
Binary grey wolf optimization and binary bat algorithm comparison determine optimal phasor measurement unit placement for complete power system observability and monitoring.
- 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.
- 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
Development and comparative testing of metaheuristic optimization algorithms advances research in electrical grid measurement infrastructure planning.
- Produced by
- claude-haiku-4-5-20251001, 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. Binary grey wolf optimization and binary bat algorithm comparison determine optimal phasor measurement unit placement for complete power system observability and monitoring.
- 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.
Evidence
Kortex hosts no documents. Evidence is an outbound link to the authority that holds it.
No outbound evidence link is recorded for this activity. The record below states which source it came from and when it was last read.
Provenance
Which source system this record came from, how many source rows were resolved into it, and when each was last read.
- Source rows resolved into this record
- 1
Each record carries the date Kortex last read it from its source system. That is a freshness date and not a verification: Kortex records what its sources say and when it read them, and it does not check those statements against any external authority. No claim on this site is described as verified, because none is.
Citing this record
This URL is stable. A record’s permalink is frozen when it is published and is not regenerated if its title is later corrected.
KIIT Deemed to be University. “Comparative Analysis between Binary Grey Wolf and Binary Bat Optimization for Optimal PMU Placement with Complete Observability”. Kortex.