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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2023

MAYFLY OPTIMIZED EXTREME GRADIENT BOOSTING FOR SINGLE DECOMPOSITION BASED SHORT TERM SOLAR POWER PREDICTION

The record

Type
Publication
Date
30 June 2023
Level
International — held abroad
Journal
Journal of Theoretical and Applied Information Technology
Volume
101
Issue
12
Pages
5154-5161
Published
30 June 2023
Scopus ID
85164338138
ISSN
19928645
Authors
5
Open access
No
Citations
1
International co-authorship
Yes
Co-author countries
IN, NP

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

  1. 7 Ensure access to affordable, reliable, sustainable and modern energy for all

    GoalPrimaryHigh confidenceJudged

    Mayfly optimization and extreme gradient boosting for solar power prediction improve renewable energy forecasting and grid integration 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

  2. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetSecondaryModerate confidenceJudged

    Hybrid meta-heuristic optimization model demonstrates advanced machine learning research capacity applied to energy systems.

    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

  3. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    Structural signal: co-authorship outside India.

    Rule-derived
    Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
    Produced by
    sdg17-structural-v1, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-2.5 Green economy, energy transition and climate resilience

    Sub-themePrimaryHigh confidenceJudged

    Solar power prediction optimization advances green energy transition and climate-resilient energy infrastructure development.

    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. “MAYFLY OPTIMIZED EXTREME GRADIENT BOOSTING FOR SINGLE DECOMPOSITION BASED SHORT TERM SOLAR POWER PREDICTION”. Kortex.

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