Big data analytics: an aid to detection of non-technical losses in power utilities

DOI10.1007/S10287-018-0325-XOpenAlexW2808784114WikidataQ129624253 ScholiaQ129624253MaRDI QIDQ1722770

Maria Teresa Vespucci, Emiliano Soda, Marco Gobbi, Giovanni Micheli, Alessandro Bertani

Publication date: 18 February 2019

Published in: Computational Management Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10287-018-0325-x

zbMATH Keywords

data miningmultiple linear regressionenergy theft detectionmeters reachability

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Cites Work

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