Fed‐NILM: A federated learning‐based non‐intrusive load monitoring method for privacy‐protection

Research article (Energy Conversion and Economics, 2022) · cited 29× · AI/ML

academia openalex:W3165330420

Press Enter · cited answer in seconds

Fed‐NILM: A federated learning‐based non‐intrusive load monitoring method for privacy‐protection

Summary

Fed‐NILM: A federated learning‐based non‐intrusive load monitoring method for privacy‐protection is a scholarly article^[1].

Key Facts

Fed‐NILM: A federated learning‐based non‐intrusive load monitoring method for privacy‐protection's instance of is recorded as scholarly article^[2].

⭐ Popularity Graph

0/100 long tail

Quick Facts

Instance of scholarly article

🔗 Connections

Authored by 6

Caomingzhe Si, Fushuan Wen, Guolong Liu, Haijin Wang, Junhua Zhao, Yusheng Xue

← Author of 6

Caomingzhe Si, Fushuan Wen, Guolong Liu, Haijin Wang, Junhua Zhao, Yusheng Xue

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

[2] ↑ Fed‐NILM: A federated learning‐based non‐intrusive load monitoring method for privacy‐protection — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ Fed‐NILM: A federated learning‐based non‐intrusive load monitoring method for privacy‐protection is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

📑 Cite this page

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.

APA

4ort.xyz Knowledge Graph. (2026). Fed‐NILM: A federated learning‐based non‐intrusive load monitoring method for privacy‐protection. Retrieved May 24, 2026, from https://4ort.xyz/entity/fednilm-a-federated-learningbased-nonintrusive-load-monitoring-method-for-privacyprotection

MLA

“Fed‐NILM: A federated learning‐based non‐intrusive load monitoring method for privacy‐protection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fednilm-a-federated-learningbased-nonintrusive-load-monitoring-method-for-privacyprotection.

BibTeX

@misc{4ortxyz_fednilm-a-federated-learningbased-nonintrusive-load-monitoring-method-for-privacyprotection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fed‐NILM: A federated learning‐based non‐intrusive load monitoring method for privacy‐protection}}, year = {2026}, url = {https://4ort.xyz/entity/fednilm-a-federated-learningbased-nonintrusive-load-monitoring-method-for-privacyprotection}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fed‐NILM: A federated learning‐based non‐intrusive load monitoring method for privacy‐protection — https://4ort.xyz/entity/fednilm-a-federated-learningbased-nonintrusive-load-monitoring-method-for-privacyprotection (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/fednilm-a-federated-learningbased-nonintrusive-load-monitoring-method-for-privacyprotection · Last refreshed: May 24, 2026