Fraud detection on power grids while transitioning to smart meters by leveraging multi-resolution consumption data

Research output: Contribution to journal › Article › peer-review

Original language	American English
Pages (from-to)	2381-2389
Number of pages	9
Journal	IEEE Transactions on Smart Grid
Volume	13
Issue number	3
DOIs	https://doi.org/10.1109/TSG.2022.3148817
State	Published - 2022

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This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{02425b2aa6c346ad8c88c7bb89d0bf65,

title = "Fraud detection on power grids while transitioning to smart meters by leveraging multi-resolution consumption data",

author = "Pablo Massaferro and \{Di Martino\}, \{J Mat{\'i}as\} and Alicia Fern{\'a}ndez",

year = "2022",

doi = "10.1109/TSG.2022.3148817",

language = "American English",

volume = "13",

pages = "2381--2389",

journal = "IEEE Transactions on Smart Grid",

issn = "1949-3053",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "3",

}

TY - JOUR

T1 - Fraud detection on power grids while transitioning to smart meters by leveraging multi-resolution consumption data

AU - Massaferro, Pablo

AU - Di Martino, J Matías

AU - Fernández, Alicia

PY - 2022

Y1 - 2022

U2 - 10.1109/TSG.2022.3148817

DO - 10.1109/TSG.2022.3148817

M3 - Article

SN - 1949-3053

VL - 13

SP - 2381

EP - 2389

JO - IEEE Transactions on Smart Grid

JF - IEEE Transactions on Smart Grid

IS - 3

ER -