Publication2023
Artificial neural network for maximum power point tracking used in solar photovoltaic system
The record
- Type
- Publication
- Date
- 1 September 2023
- Level
- National
- Journal
- International Journal of Power Electronics and Drive Systems
- Volume
- 14
- Issue
- 3
- Pages
- 1694-1701
- Published
- 1 September 2023
- DOI
- 10.11591/ijpeds.v14.i3.pp1694-1701
- Scopus ID
- 85185597144
- ISSN
- 20888694
- Authors
- 3
- Open access
- Yes
- Citations
- 9
- 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
Artificial neural network for maximum power point tracking in solar photovoltaic systems directly optimizes renewable energy capture efficiency
- 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
RBFN architecture for MPPT control represents research methodology advancement in machine learning for solar energy optimization
- 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 optimization technology supports green economy through maximizing renewable photovoltaic system performance
- 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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- 1
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Citing this record
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KIIT Deemed to be University. “Artificial neural network for maximum power point tracking used in solar photovoltaic system”. Kortex.