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Smart Meter Data Analysis

Research output: Chapter in Book/Report/Conference proceedingConference paper

Standard

Smart Meter Data Analysis. / Aljamea, Mudhi; Brankovic, Ljiljana; Gao, Jia; Iliopoulos, Costas S.; Samir Uzzaman, M.

ACM International Conference Proceeding Series. Vol. 22-23-March-2016 Association for Computing Machinery, 2016. 22.

Research output: Chapter in Book/Report/Conference proceedingConference paper

Harvard

Aljamea, M, Brankovic, L, Gao, J, Iliopoulos, CS & Samir Uzzaman, M 2016, Smart Meter Data Analysis. in ACM International Conference Proceeding Series. vol. 22-23-March-2016, 22, Association for Computing Machinery, International Conference on Internet of Things and Cloud Computing, ICC 2016, Cambridge, United Kingdom, 22/03/2016. https://doi.org/10.1145/2896387.2896407

APA

Aljamea, M., Brankovic, L., Gao, J., Iliopoulos, C. S., & Samir Uzzaman, M. (2016). Smart Meter Data Analysis. In ACM International Conference Proceeding Series (Vol. 22-23-March-2016). [22] Association for Computing Machinery. https://doi.org/10.1145/2896387.2896407

Vancouver

Aljamea M, Brankovic L, Gao J, Iliopoulos CS, Samir Uzzaman M. Smart Meter Data Analysis. In ACM International Conference Proceeding Series. Vol. 22-23-March-2016. Association for Computing Machinery. 2016. 22 https://doi.org/10.1145/2896387.2896407

Author

Aljamea, Mudhi ; Brankovic, Ljiljana ; Gao, Jia ; Iliopoulos, Costas S. ; Samir Uzzaman, M. / Smart Meter Data Analysis. ACM International Conference Proceeding Series. Vol. 22-23-March-2016 Association for Computing Machinery, 2016.

Bibtex Download

@inbook{d1f86e0b39654a548e19f8e0628cecab,
title = "Smart Meter Data Analysis",
abstract = "Providing a global understanding of privacy is crucial, because everything is connected. Nowadays companies are providing their customers with more services that will give them more access to their data and daily activity; electricity companies are marketing the new smart meters as a new service with great benefit to reduce the electricity usage by monitoring the electricity reading in real time. Although the users might benefit from this extra service, it will compromise the privacy of the users by having constant access to the readings. Since the smart meters will provide the users with real electricity readings, they will be able to decide and identify which devices are consuming energy in that specific moment and how much it will cost. This kind of information can be exploited by numerous types of people. Unauthorized use of this information is an invasion of privacy and may lead to much more severe consequences. This paper will propose an algorithm approach for the comparison and analysis of Smart Meter data readings, considering the time and temperature factors at each second to identify the use patterns at each house by identifying the appliances activities at each second in time complexity O(log(m)).",
keywords = "Privacy, Security, Smart grid, Smart meters",
author = "Mudhi Aljamea and Ljiljana Brankovic and Jia Gao and Iliopoulos, {Costas S.} and {Samir Uzzaman}, M",
year = "2016",
month = mar,
day = "22",
doi = "10.1145/2896387.2896407",
language = "English",
isbn = "9781450340632",
volume = "22-23-March-2016",
booktitle = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
note = "International Conference on Internet of Things and Cloud Computing, ICC 2016 ; Conference date: 22-03-2016 Through 23-03-2016",

}

RIS (suitable for import to EndNote) Download

TY - CHAP

T1 - Smart Meter Data Analysis

AU - Aljamea, Mudhi

AU - Brankovic, Ljiljana

AU - Gao, Jia

AU - Iliopoulos, Costas S.

AU - Samir Uzzaman, M

PY - 2016/3/22

Y1 - 2016/3/22

N2 - Providing a global understanding of privacy is crucial, because everything is connected. Nowadays companies are providing their customers with more services that will give them more access to their data and daily activity; electricity companies are marketing the new smart meters as a new service with great benefit to reduce the electricity usage by monitoring the electricity reading in real time. Although the users might benefit from this extra service, it will compromise the privacy of the users by having constant access to the readings. Since the smart meters will provide the users with real electricity readings, they will be able to decide and identify which devices are consuming energy in that specific moment and how much it will cost. This kind of information can be exploited by numerous types of people. Unauthorized use of this information is an invasion of privacy and may lead to much more severe consequences. This paper will propose an algorithm approach for the comparison and analysis of Smart Meter data readings, considering the time and temperature factors at each second to identify the use patterns at each house by identifying the appliances activities at each second in time complexity O(log(m)).

AB - Providing a global understanding of privacy is crucial, because everything is connected. Nowadays companies are providing their customers with more services that will give them more access to their data and daily activity; electricity companies are marketing the new smart meters as a new service with great benefit to reduce the electricity usage by monitoring the electricity reading in real time. Although the users might benefit from this extra service, it will compromise the privacy of the users by having constant access to the readings. Since the smart meters will provide the users with real electricity readings, they will be able to decide and identify which devices are consuming energy in that specific moment and how much it will cost. This kind of information can be exploited by numerous types of people. Unauthorized use of this information is an invasion of privacy and may lead to much more severe consequences. This paper will propose an algorithm approach for the comparison and analysis of Smart Meter data readings, considering the time and temperature factors at each second to identify the use patterns at each house by identifying the appliances activities at each second in time complexity O(log(m)).

KW - Privacy

KW - Security

KW - Smart grid

KW - Smart meters

UR - http://www.scopus.com/inward/record.url?scp=84976514705&partnerID=8YFLogxK

U2 - 10.1145/2896387.2896407

DO - 10.1145/2896387.2896407

M3 - Conference paper

AN - SCOPUS:84976514705

SN - 9781450340632

VL - 22-23-March-2016

BT - ACM International Conference Proceeding Series

PB - Association for Computing Machinery

T2 - International Conference on Internet of Things and Cloud Computing, ICC 2016

Y2 - 22 March 2016 through 23 March 2016

ER -

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