Publication2026
Renewable energy optimization for sustainable power generation
- Affordable and Clean Energy
- Climate Action
- Partnerships for the Goals
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 1 March 2026
- Level
- International — held abroad
- Journal
- International Journal of Informatics and Communication Technology
- Volume
- 15
- Issue
- 1
- Pages
- 365-373
- Published
- 1 March 2026
- DOI
- 10.11591/ijict.v15i1.pp365-373
- Scopus ID
- 105036293327
- ISSN
- 22528776
- Authors
- 5
- Open access
- Yes
- Citations
- 0
- International co-authorship
- Yes
- Co-author countries
- IN, KR
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
Data-driven renewable energy optimization using weather-energy correlation analysis and machine learning forecasting improves solar and wind power system efficiency and capacity utilization for sustainable electricity generation.
- 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 Take urgent action to combat climate change and its impacts
Maximization of renewable energy sources through data analytics supports climate action by reducing fossil fuel dependency and greenhouse gas emissions from power generation.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
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
vb-2 Thriving and Sustainable Economy
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 7 label. Data-driven renewable energy optimization using weather-energy correlation analysis and machine learning forecasting improves solar and wind power system efficiency and capacity utilization for sustainable electricity generation.
- 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. “Renewable energy optimization for sustainable power generation”. Kortex.