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

Publication2025

Exploring the synergistic potential of a hybrid PV-biogas power generation system for smart city electrification by sustainable thermo-exergetic and environmental analysis using a forest machine learning approach

The record

Type
Publication
Date
1 October 2025
Level
National
Journal
Environmental Science and Pollution Research
Volume
32
Issue
50
Pages
28824-28839
Published
1 October 2025
DOI
10.1007/s11356-025-37237-y
Scopus ID
105023049801
ISSN
09441344
Authors
4
Open access
No
Citations
0
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

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

    GoalPrimaryHigh confidenceJudged

    Off-grid hybrid photovoltaic and biogas generation system with machine learning optimization achieves 18.61% energy efficiency for sustainable smart city electrification.

    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. 13 Take urgent action to combat climate change and its impacts

    GoalSecondaryModerate confidenceJudged

    Renewable energy system reduces reliance on fossil fuels and mitigates greenhouse gas emissions contributing to climate change mitigation in urban areas.

    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

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

    Sub-themePrimaryHigh confidenceJudged

    Hybrid renewable energy technology demonstrates green economy approach integrating solar and biogas for sustainable distributed power generation.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Exploring the synergistic potential of a hybrid PV-biogas power generation system for smart city electrification by sustainable thermo-exergetic and environmental analysis using a forest machine learning approach”. Kortex.

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