Publication2022
A Study on Effect of GHG on the Performance of Grid Connected Solar PV System
- Affordable and Clean Energy
- Climate Action
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 1 January 2022
- Level
- National
- Journal
- Proceedings 3rd IEEE India Council International Subsections Conference Impactful Innovations for Benefits of Society and Industry Indiscon 2022
- Published
- 1 January 2022
- DOI
- 10.1109/indiscon54605.2022.9862836
- Scopus ID
- 85138041539
- Authors
- 3
- Open access
- No
- 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
7.2 Substantially increase the share of renewable energy in the global energy mix
Adaptive neural network optimization improves grid-connected solar photovoltaic system performance under varying greenhouse gas concentrations and environmental conditions.
- 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
13.1 Strengthen resilience and adaptive capacity to climate-related hazards and natural disasters
Solar energy deployment supported by intelligent control systems strengthens resilience to climate change impacts and environmental variability.
- 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
Viksit Bharat @2047
vb-2 Thriving and Sustainable Economy
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 7 label. Adaptive neural network optimization improves grid-connected solar photovoltaic system performance under varying greenhouse gas concentrations and environmental conditions.
- 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 Study on Effect of GHG on the Performance of Grid Connected Solar PV System”. Kortex.