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2018 | OriginalPaper | Chapter

Heuristics-Based Detection of Abnormal Energy Consumption

Authors : Ankur Sial, Amarjeet Singh, Aniket Mahanti, Mingwei Gong

Published in: Smart Grid and Innovative Frontiers in Telecommunications

Publisher: Springer International Publishing

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Abstract

This paper presents two methods for detecting abnormal electricity consumption by utilizing usage patterns in the vicinity. The methods use contextual and factual information including, energy consumption patterns, nature of supply and category of day to logically group meters and find abnormalities. Using heuristics proposed in the paper, data collected from fifty smart meters deployed inside hostels of IIIT-Delhi were investigated for abnormal electricity consumption. Multiple abnormalities were found and their causes were verified after discussion with campus administrators. Our results show that the proposed heuristics successfully found abnormal energy consumption behavior. Therefore, these methods could be used for real-time abnormality detection. This will result in reducing operating costs by automatically detecting and reporting abnormalities without human intervention.

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Literature
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Metadata
Title
Heuristics-Based Detection of Abnormal Energy Consumption
Authors
Ankur Sial
Amarjeet Singh
Aniket Mahanti
Mingwei Gong
Copyright Year
2018
Book
Smart Grid and Innovative Frontiers in Telecommunications

Print ISBN: 978-3-319-94964-2

Electronic ISBN: 978-3-319-94965-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-94965-9_3

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