Home ›
Entities
› academia
› High-impedance fault identification and location by using mode decomposition integrated adaptive multi-kernel extreme learning machine technique for distributed generator-based microgrid
High-impedance fault identification and location by using mode decomposition integrated adaptive multi-kernel extreme learning machine technique for distributed generator-based microgrid
Research article (Electrical Engineering, 2022) · cited 16× · AI/ML
High-impedance fault identification and location by using mode decomposition integrated adaptive multi-kernel extreme learning machine technique for distributed generator-based microgrid
Summary
High-impedance fault identification and location by using mode decomposition integrated adaptive multi-kernel extreme learning machine technique for distributed generator-based microgrid is a scholarly article[1].
Key Facts
High-impedance fault identification and location by using mode decomposition integrated adaptive multi-kernel extreme learning machine technique for distributed generator-based microgrid's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). High-impedance fault identification and location by using mode decomposition integrated adaptive multi-kernel extreme learning machine technique for distributed generator-based microgrid. Retrieved May 24, 2026, from https://4ort.xyz/entity/high-impedance-fault-identification-and-location-by-using-mode-decomposition-integrated-adaptive-multi-kernel-extreme-le
MLA“High-impedance fault identification and location by using mode decomposition integrated adaptive multi-kernel extreme learning machine technique for distributed generator-based microgrid.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/high-impedance-fault-identification-and-location-by-using-mode-decomposition-integrated-adaptive-multi-kernel-extreme-le.
BibTeX@misc{4ortxyz_high-impedance-fault-identification-and-location-by-using-mode-decomposition-integrated-adaptive-multi-kernel-extreme-le_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{High-impedance fault identification and location by using mode decomposition integrated adaptive multi-kernel extreme learning machine technique for distributed generator-based microgrid}}, year = {2026}, url = {https://4ort.xyz/entity/high-impedance-fault-identification-and-location-by-using-mode-decomposition-integrated-adaptive-multi-kernel-extreme-le}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): High-impedance fault identification and location by using mode decomposition integrated adaptive multi-kernel extreme learning machine technique for distributed generator-based microgrid — https://4ort.xyz/entity/high-impedance-fault-identification-and-location-by-using-mode-decomposition-integrated-adaptive-multi-kernel-extreme-le (retrieved 2026-05-24)