Affiliation:
1. Department of Computing and the Digital Environment, Coventry University, Coventry, UK
Abstract
A variety of energy management systems are currently available for domestic domain, and many are concerned with real-time energy consumption monitoring and display of statistical and real time data of energy consumption. Although these systems play a crucial role in providing a detailed picture of energy consumption in home environment and contribute to influencing energy consumption behavior, households are required to then take appropriate measures to reduce energy consumption. Some energy management systems provide energy saving tips but they do not take into account households’ profiles and energy consumption of home appliances. To generate an effective and real time appliance level advice on energy consumption, the system must be able to cope with a large volume of data. The proposed system addresses this issue by taking into account household profiles and energy consumption of domestic electrical appliances. The system also uses an approach based on functional data services to deal with the challenge of processing a large volume of data in real time.
Subject
Cardiology and Cardiovascular Medicine
Cited by
3 articles.
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