IoE Based Building Energy Profiling System

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dc.contributor.author Zeeshan Wakeel, 01-133162-175
dc.contributor.author Zahid Amanullah, 01-133162-050
dc.contributor.author Musammar Hassan Imrani, 01-133162-086
dc.date.accessioned 2022-04-13T06:20:37Z
dc.date.available 2022-04-13T06:20:37Z
dc.date.issued 2020
dc.identifier.uri http://hdl.handle.net/123456789/12604
dc.description Supervised by Engr M. Hassan Danish Khan en_US
dc.description.abstract Energy efficiency issues have become a significant challenge for the development of the world. The system will control and monitor the electrical based equipment’s and reduce the power consumption in building by controlling devices automatically when devices are need to be on or off .The system will alarms for the bad conditions like fire and high energy usage and plus point is you can control your devices by sitting anywhere in the world and we make the monitoring easy. Moreover, it uses the machine learning and energy profiling system, this system will help to predict us the future values and billing of the building or system. Previously researches on building managements are made but they don’t use any type of machine learning, by seeing in the brief this project will train the machine on daily basis and can be perfect for office or specific building. This project will reduce the power consumption by 30% or even more efficient because it will only use the power when the appliances will need it. en_US
dc.language.iso en en_US
dc.publisher Bahria University Engineering School en_US
dc.relation.ispartofseries BEE;P-1635
dc.subject Electrical Engineering en_US
dc.title IoE Based Building Energy Profiling System en_US
dc.type Project Reports en_US


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