Publication2022
A sustainable data-driven energy consumption assessment model for building infrastructures in resource constraint environment
The record
- Type
- Publication
- Date
- 1 October 2022
- Level
- National
- Journal
- Sustainable Energy Technologies and Assessments
- Volume
- 53
- Published
- 1 October 2022
- DOI
- 10.1016/j.seta.2022.102697
- Scopus ID
- 85137157034
- ISSN
- 22131388
- Authors
- 4
- Open access
- No
- Citations
- 72
- 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
7.3 Double the global rate of improvement in energy efficiency
Machine learning model for building energy consumption prediction achieves 93.75% accuracy with minimal computational overhead, directly supporting energy efficiency improvements and sustainable urban building management.
- 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
12.2 Achieve the sustainable management and efficient use of natural resources
Energy consumption assessment supports sustainable consumption patterns and efficient resource management in building infrastructure.
- 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-2.5 Green economy, energy transition and climate resilience
Energy efficiency research for buildings advances green economy transition and climate-smart urban 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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- 1
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Citing this record
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KIIT Deemed to be University. “A sustainable data-driven energy consumption assessment model for building infrastructures in resource constraint environment”. Kortex.