Publication2023
Evaluating Energy Consumption Patterns in a Smart Grid with Data Analytics Models
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- 2023 2nd International Conference on Smart Technologies for Smart Nation Smarttechcon 2023
- Pages
- 1072-1077
- Published
- 1 January 2023
- DOI
- 10.1109/smarttechcon57526.2023.10391483
- Scopus ID
- 85184828877
- Authors
- 5
- Open access
- No
- Citations
- 22
- 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 Ensure access to affordable, reliable, sustainable and modern energy for all
Smart grid technology enhanced through data analytics models for energy consumption optimization and efficient asset utilization
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Predictive data analytics research methodology using decision tree models as research innovation capacity
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.5 Green economy, energy transition and climate resilience
Smart grid technology and green energy management through analytics-driven optimization
- 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. “Evaluating Energy Consumption Patterns in a Smart Grid with Data Analytics Models”. Kortex.