Publication2022
Optimal Battery Utilization Based on Weather Forecasting Data Leading to DSI
The record
- Type
- Publication
- Date
- 1 January 2022
- Level
- National
- Journal
- Proceedings of 2022 1st IEEE International Conference on Industrial Electronics Developments and Applications Icidea 2022
- Pages
- 192-197
- Published
- 1 January 2022
- DOI
- 10.1109/icidea53933.2022.9970022
- Scopus ID
- 85144608290
- Authors
- 5
- 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
7 Ensure access to affordable, reliable, sustainable and modern energy for all
Smart battery scheduling system based on weather forecasting data optimizes prosumer microgrid operations to reduce grid dependence and ensure affordable renewable energy supply.
- 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 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
IoT-enabled battery management system with demand response demonstrates technology innovation for renewable energy integration in distributed generation systems.
- 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
Weather-optimized battery scheduling directly supports renewable energy integration and grid resilience in energy transition toward sustainable power systems.
- 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. “Optimal Battery Utilization Based on Weather Forecasting Data Leading to DSI”. Kortex.