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A SMART POWER MANAGEMENT SYSTEM BASED ON GIS, RADIO SENSOR NETWORKS, AND CROWD-SOURCED DATA

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dc.contributor.author Asjad Asif Jah, Muhammad Sarmad Ahmed, Huda Javaid Rao Muhammad Saeed Ali
dc.date.accessioned 2025-02-18T08:54:19Z
dc.date.available 2025-02-18T08:54:19Z
dc.date.issued 2025-02-18
dc.identifier.other NUST201200802BIGIS10412F
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/50005
dc.description Supervisor: Dr. Salman Atif en_US
dc.description.abstract This thesis is based on our project entitled “A Smart Power Management System based on GIS, Radio Sensor Networks and Crowd-Sourced Data.” The main point of this project was to conceptualize the idea of smart off the grid mapping of the consumption of the electricity by the user, provided through volunteered geographic information and also develop a hardware device to acquire the irradiance data in real-time environment. The application consists of three modules, a web interface both for the consumer and the administrative users, a mobile application (initially for android) and a prototype for solar energy production mapping at household level. The website interface facilitates the user as well as the admins by providing a dynamic view of the areas along with their respective solar irradiance. The main contribution is focused on the user end who has to provide the usage data in order to get his trends of consumption. Consequently, the more accurate results the user provides, the more resourceful analysis he would enjoy. On the other hand, those users who are unable to install the device can also get an idea about the potential in their vicinity through our android application which allows them to know the irradiance potential in their vicinity along with the Euclidean distance to the place where the measurement was taken with the device. en_US
dc.language.iso en en_US
dc.publisher Institute of Geographical Information Systems (IGIS) en_US
dc.subject Smart Power Management en_US
dc.title A SMART POWER MANAGEMENT SYSTEM BASED ON GIS, RADIO SENSOR NETWORKS, AND CROWD-SOURCED DATA en_US
dc.type Thesis en_US


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