A case study of improving a non-technical losses detection system through explainability

Research article (Data Mining and Knowledge Discovery, 2023) · cited 12× · AI/ML
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A case study of improving a non-technical losses detection system through explainability

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A case study of improving a non-technical losses detection system through explainability is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A case study of improving a non-technical losses detection system through explainability. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-case-study-of-improving-a-non-technical-losses-detection-system-through-explainability
MLA “A case study of improving a non-technical losses detection system through explainability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-case-study-of-improving-a-non-technical-losses-detection-system-through-explainability.
BibTeX @misc{4ortxyz_a-case-study-of-improving-a-non-technical-losses-detection-system-through-explainability_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A case study of improving a non-technical losses detection system through explainability}}, year = {2026}, url = {https://4ort.xyz/entity/a-case-study-of-improving-a-non-technical-losses-detection-system-through-explainability}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A case study of improving a non-technical losses detection system through explainability — https://4ort.xyz/entity/a-case-study-of-improving-a-non-technical-losses-detection-system-through-explainability (retrieved 2026-05-24)

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