Publication2024
Advance Maximum Power Point Tracking Scheme Based on Solar Panel Reconfiguration and Pollination Algorithms
The record
- Type
- Publication
- Date
- 1 December 2024
- Level
- National
- Journal
- Applied Solar Energy English Translation of Geliotekhnika
- Volume
- 60
- Issue
- 6
- Pages
- 767-784
- Published
- 1 December 2024
- DOI
- 10.3103/s0003701x24603089
- Scopus ID
- 105010846661
- ISSN
- 0003701X
- Authors
- 4
- Open access
- No
- Citations
- 0
- 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
Algorithms for maximum power point tracking and solar panel reconfiguration optimize photovoltaic system efficiency under partial shading.
- 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-2.5 Green economy, energy transition and climate resilience
Solar energy system optimization through smart tracking algorithms supports clean energy transition and grid integration.
- 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. “Advance Maximum Power Point Tracking Scheme Based on Solar Panel Reconfiguration and Pollination Algorithms”. Kortex.