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Privacy Preserving User Data and Load Management in a Smart Grid

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dc.contributor.author Mehmood, Yasir
dc.date.accessioned 2023-09-20T03:40:35Z
dc.date.available 2023-09-20T03:40:35Z
dc.date.issued 2023-09-20
dc.identifier.other 00000318101
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/39000
dc.description Supervised by Associate Prof Dr. Fawad Khan en_US
dc.description.abstract The conventional Power grid also known as the traditional power grid is used for the distribution of electricity in a country. The traditional power grid is the interconnection of various electrical equipment like conventional meters, wires, conventional transformers, and other load distributer equipment. In conventional power grid uses a one-way electricity flow from the power generation station to the consumers. Conventional grid systems exhibit a dual drawback. Initially, they compromise user privacy, thereby placing users at risk due to inadequate data confidentiality. To reduce the above-mentioned problems Smart grid is developed from a traditional grid, but it is an intelligent grid that monitors all the activities in a real-time. Smart grid is more efficient in reliability, efficiency, batter demand management and real time monitoring. In order to fulfill the various electrical needs of end users, a smart grid is an electricity network that employs digital and other cutting-edge technology to monitor and regulate the transmission of electricity from all generation sources. A smart metering system is supported by three main components: a smart meter (SM), Aggregator Node (AN), and Smart Grid (SG). A smart meter is an electronic device that is used to monitor consumers’ usage detail voltage level, consumption, usage of electricity, etc in a much more efficient way. Smarts meters help to increase efficiency and submit every report to next central device after every 15, 30 or 60 minutes. For privacy preserving, we will use the Pailliar Homomorphic Encryption and forecasting demand of electricity we use LSTM. en_US
dc.language.iso en en_US
dc.publisher MCS en_US
dc.title Privacy Preserving User Data and Load Management in a Smart Grid en_US
dc.type Thesis en_US


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