This paper is published in Volume-2, Issue-6, 2016
Area
Building Management System
Author
Sandhiya. B.
Org/Univ
Kathir College of Engineering, Coimbatore, India
Pub. Date
13 January, 2017
Paper ID
V2I6-1266
Publisher
Keywords
Energy Saving, Power Consumption.

Citationsacebook

IEEE
Sandhiya. B.. Machine Learning and SOA Based Building Management System, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sandhiya. B. (2016). Machine Learning and SOA Based Building Management System. International Journal of Advance Research, Ideas and Innovations in Technology, 2(6) www.IJARIIT.com.

MLA
Sandhiya. B.. "Machine Learning and SOA Based Building Management System." International Journal of Advance Research, Ideas and Innovations in Technology 2.6 (2016). www.IJARIIT.com.

Abstract

In order to attain energy saving with efficiency and supply good services automatically for users, the design of a sensible energy observance and management system using the Microsoft neural network and computationally non tolling formula is projected in this paper. By monitoring the ability consumption data, surroundings data and users’ scenario data, the system supported the design will calculate the proportion of wasted energy consumption supported the energy consumption data point, give sensible services based on the person-device interaction, and forecast the energy consumption supported the user energy consumption behaviors. The system is combined with cloud computing for data storage and processing. This document illustrates the propose and execution of the system structural design.