Publication2021
Macromodel development for Wind Speed Estimation Using RBF-SVM
- Affordable and Clean Energy
- Industry, Innovation and Infrastructure
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 24 September 2021
- Level
- National
- Journal
- 2021 IEEE 4th International Conference on Computing Power and Communication Technologies Gucon 2021
- Published
- 24 September 2021
- DOI
- 10.1109/gucon50781.2021.9573536
- Scopus ID
- 85119091030
- Authors
- 3
- Open access
- No
- Citations
- 1
- 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
Support vector machine model for wind speed forecasting enables accurate renewable energy production planning and grid integration of wind turbines, supporting expansion of clean energy capacity and economic dispatch of renewable sources.
- 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
Development of RBF-SVM macromodel for wind energy prediction represents innovation in machine learning application to renewable energy systems forecasting without requiring numerical weather prediction parameters.
- 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. Support vector machine model for wind speed forecasting enables accurate renewable energy production planning and grid integration of wind turbines, supporting expansion of clean energy capacity and economic dispatch of renewable sources.
- 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. “Macromodel development for Wind Speed Estimation Using RBF-SVM”. Kortex.