- Title
- Smart meter data analysis
- Creator
- Aljamea, Moudhi M.; Brankovic, Ljiljana; Gao, Jia; Iliopoulos, Costas S.; Samiruzzaman, M.
- Relation
- International Conference on Internet of Things and Cloud Computing (ICC '16). Proceedings of the International Conference on Internet of Things and Cloud Computing (Cambridge, UK 22-23 March, 2016)
- Publisher Link
- http://dx.doi.org/10.1145/2896387.2896407
- Publisher
- Association for Computing Machinery (ACM)
- Resource Type
- conference paper
- Date
- 2016
- Description
- 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)).
- Subject
- smart meters; smart grid; privacy; security
- Identifier
- http://hdl.handle.net/1959.13/1324525
- Identifier
- uon:25055
- Identifier
- ISBN:9781450340632
- Language
- eng
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