Publication2018
Development and implementation of renewable energy potential geospatial database mapping in India for cloud SDI using open source GIS
The record
- Type
- Publication
- Date
- 1 January 2018
- Level
- International — held abroad
- Journal
- Lecture Notes in Electrical Engineering
- Volume
- 435
- Pages
- 419-428
- Published
- 1 January 2018
- DOI
- 10.1007/978-981-10-4286-7_41
- Scopus ID
- 85034077102
- ISSN
- 18761100
- Authors
- 4
- Open access
- No
- Citations
- 6
- International co-authorship
- Yes
- Co-author countries
- IN, SG
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
Geospatial database development maps renewable energy potential for wind, solar, biomass, and hydropower across Indian states
- 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
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-2.5 Green economy, energy transition and climate resilience
Renewable energy potential mapping directly supports India's energy transition toward clean and sustainable power
- 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.
Evidence
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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. “Development and implementation of renewable energy potential geospatial database mapping in India for cloud SDI using open source GIS”. Kortex.
