Distilling provider-independent data for general detection of non-technical losses

Research article (2017 IEEE Power and Energy Conference at Illinois (PECI), 2017) · cited 42× · AI/ML
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Distilling provider-independent data for general detection of non-technical losses

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Distilling provider-independent data for general detection of non-technical losses is a scholarly article[1].

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  • Distilling provider-independent data for general detection of non-technical losses's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Distilling provider-independent data for general detection of non-technical losses. Retrieved May 24, 2026, from https://4ort.xyz/entity/distilling-provider-independent-data-for-general-detection-of-non-technical-losses
MLA “Distilling provider-independent data for general detection of non-technical losses.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/distilling-provider-independent-data-for-general-detection-of-non-technical-losses.
BibTeX @misc{4ortxyz_distilling-provider-independent-data-for-general-detection-of-non-technical-losses_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Distilling provider-independent data for general detection of non-technical losses}}, year = {2026}, url = {https://4ort.xyz/entity/distilling-provider-independent-data-for-general-detection-of-non-technical-losses}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Distilling provider-independent data for general detection of non-technical losses — https://4ort.xyz/entity/distilling-provider-independent-data-for-general-detection-of-non-technical-losses (retrieved 2026-05-24)

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