Energy Management & Automated Analytics

Santarossa, Matthew (2015) Energy Management & Automated Analytics. [USQ Project]

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Abstract

Electricity bills are an inherent cost to any household or business. In recent years, the commodity as a whole has risen significantly in price placing greater demand on our society to reduce on energy costs.

The principle of energy management explores the energy behaviours of a given site or premises in order to create consumer awareness and alter their energy behaviours. By gathering and distributing more information regarding the consumption of a site or premises, consumers can grasp a better understanding of their energy consumption and make justified decisions in order to reduce their energy consumption. This concept can deliver significant long-term results but can often be a time consuming and expensive process to implement.

This research project aims to deliver the energy management process in a more time and cost efficient manner. Energy management is only viable if it benefits the end consumer and economic viability is placing significant constraints on developments within the energy management field. Finding time and cost efficient energy management processes will not only allow consumers to reduce their energy consumption in shorter time frames but will also allow for the possibility of benefitting more energy consumers across residential, commercial and industrial energy markets.


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Item Type: USQ Project
Item Status: Live Archive
Additional Information: Bachelor of Engineering (Electrical and Electronic) project
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Supervisors: Das, Narottam
Date Deposited: 31 May 2016 02:22
Last Modified: 06 Jun 2016 00:51
Uncontrolled Keywords: Energy management, automated analytics, economic viability, cost efficient, energy consumption
Fields of Research : 09 Engineering > 0906 Electrical and Electronic Engineering > 090699 Electrical and Electronic Engineering not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/29171

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