Publication2024
Harnessing Machine Learning for Improved Solar Radiation Prediction
- Affordable and Clean Energy
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- 2nd IEEE International Conference on Networks Multimedia and Information Technology Nmitcon 2024
- Published
- 1 January 2024
- DOI
- 10.1109/nmitcon62075.2024.10699121
- Scopus ID
- 85207400441
- Authors
- 6
- Open access
- No
- Citations
- 2
- 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
Applies machine learning regression models including random forest for accurate solar radiation prediction to optimize solar energy system planning, efficiency, and renewable energy deployment.
- 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 Thriving and Sustainable Economy
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 7 label. Applies machine learning regression models including random forest for accurate solar radiation prediction to optimize solar energy system planning, efficiency, and renewable energy deployment.
- 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. “Harnessing Machine Learning for Improved Solar Radiation Prediction”. Kortex.