Publication2023
Fault detection and classification of DC microgrid based on VMD
- Affordable and Clean Energy
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 20 January 2023
- Level
- National
- Journal
- COMPEL the International Journal for Computation and Mathematics in Electrical and Electronic Engineering
- Volume
- 42
- Issue
- 2
- Pages
- 302-322
- Published
- 20 January 2023
- DOI
- 10.1108/compel-09-2021-0358
- Scopus ID
- 85131321988
- ISSN
- 03321649
- Authors
- 1
- Open access
- No
- Citations
- 5
- 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
Fault detection in DC microgrids using variational mode decomposition and neural networks improves reliability of distributed renewable energy 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.
- 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 Thriving and Sustainable Economy
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 7 label. Fault detection in DC microgrids using variational mode decomposition and neural networks improves reliability of distributed renewable energy 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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- 1
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Citing this record
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KIIT Deemed to be University. “Fault detection and classification of DC microgrid based on VMD”. Kortex.