Energy management and automated analytics for reduction of energy consumption
|dc.identifier.citation||Santarossa, M. and Das, N. and Helwig, A. and Ahfock, T. 2016. Energy management and automated analytics for reduction of energy consumption.|
© 2016 IEEE. This paper presents the basic principles of energy management and explores its viability within the community and those who are using electricity daily. It aims to confirm that an energy consumer can alter both their choices and behavior toward the energy consumption and reduce their electricity costs if they are equipped with the correct information. To implement this system, an energy management process was developed for the purposes of this research. The process was ultimately utilized to find a more cost and time efficient method to assist consumers to better understanding firstly reduce their electricity consumption whilst secondly proving that energy management is a viable concept for consumers to adopt. If consumers were able to reduce their consumption from this research, further investigation could be conducted to find better ways to help consumers reduce their electricity bills and lead more cost and energy efficient lives.
|dc.title||Energy management and automated analytics for reduction of energy consumption|
|dcterms.source.title||Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016|
|dcterms.source.series||Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016|
|curtin.department||Department of Electrical and Computer Engineering|
|curtin.accessStatus||Fulltext not available|
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