Publication2026
Optimal reconfiguration, renewable DGs, and energy storage units’ integration in distribution systems considering power generation uncertainty using hybrid GWO-SCA algorithms
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- International Journal of Modelling and Simulation
- Volume
- 46
- Issue
- 3
- Pages
- 797-829
- Published
- 1 January 2026
- DOI
- 10.1080/02286203.2024.2363605
- Scopus ID
- 85197209869
- ISSN
- 02286203
- Authors
- 6
- Open access
- No
- Citations
- 8
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
7.1 Ensure universal access to affordable, reliable and modern energy services
Optimal distribution system reconfiguration with renewable sources and energy storage integration achieves 80% power loss reduction with hybrid GWO-SCA algorithm optimization.
- 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
Viksit Bharat @2047
vb-2.5 Green economy, energy transition and climate resilience
Renewable distributed generation integration and energy storage optimization supports green economy transition and clean energy infrastructure.
- 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. “Optimal reconfiguration, renewable DGs, and energy storage units’ integration in distribution systems considering power generation uncertainty using hybrid GWO-SCA algorithms”. Kortex.