Quantifying and Interpreting Non-Technical Losses in Smart Grids: An RFE-Optimized XGBoost Regression Methodology with Uncertainty Analysis

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Authors: Vahid Parvaz
Cited by: 0

Abstract

The following data is a processed version of the Low Carbon London dataset, prepared for this research.

Fields of Study & Subjects

Electricity Theft Detection Techniques Smart Grid Energy Management Smart Grid and Power Systems

Publication details

Journal / source
Mendeley Data
Publication date
26 February 2026
Language
EN
Document type
Dataset