Cloud Based Efficient Building Energy Management System
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 3
Abstract
In order to achieve energy saving efficiently and provide smart services automatically for users, the architecture of a smart energy monitoring and management system using the Microsoft neural network and computationally non tolling algorithm is proposed in this paper. By monitoring the power consumption information, environment information and users’ situation information, the system based on the architecture can calculate the proportion of wasted energy consumption based on the energy consumption statistic, provide smart services based on the person-device interaction, and forecast the energy consumption based on the user energy consumption behaviors. The system is combined with cloud computing for data storage and processing. This paper describes the design and implementation of the system architecture.
Authors and Affiliations
S. Geetha, T. Preethi
Keywords
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- EP ID EP23698
- DOI http://doi.org/10.22214/ijraset.2017.3236
- Views 358
- Downloads 7
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