Vastardis, Nikolaos and Adjrad, Mounir and Buchanan, Kathryn and Liao, Zhining and Koch, Christian and Russo, Riccardo and Yang, Kun and Ghavami, Mohammad and Anderson, Ben and Dudley, Sandra (2014) A user-centric system architecture for residential energy consumption reduction. In: 2014 IEEE Online Conference on Green Communications (OnlineGreencomm), 2014-11-12 - 2014-11-14, Tucson, AZ, USA.

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Abstract

Long-term energy consumption reduction can be achieved more readily through sensible cooperation between end users and technological advancements. The DANCER project presented here proposes a user-centric residential energy management system, with the intention to achieve long-term energy related behavioural changes, thus improving the energy efficiency of modern homes. Although, it follows the same basic principles as other contemporary approaches, it focuses on minimizing the interaction of the user with the system. This is achieved through an improved feedback mechanism and a generic, policy based service that takes advantage of the modularity and generality of the software architecture. The proposed system is designed to support a variety of technologies (WiFi, Zigbee, X10), in order to ameliorate the input and output of the decision making operation. In this paper, the general outline of the DANCER system architecture and its most important components are discussed and the prototype test-bed is presented. Special consideration is given to the implementation, operation and response behaviour of the prototype.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Published proceedings: 2014 IEEE Online Conference on Green Communications (OnlineGreenComm)
Uncontrolled Keywords:	Energy Reduction; Smart Gateway; Sensors; Smart Metering; Policy Engine; System Architecture
Subjects:	B Philosophy. Psychology. Religion > BF Psychology G Geography. Anthropology. Recreation > GE Environmental Sciences H Social Sciences > H Social Sciences (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of Faculty of Science and Health > Psychology, Department of
SWORD Depositor:	Elements
Depositing User:	Elements
Date Deposited:	21 Aug 2015 19:12
Last Modified:	15 Jan 2022 00:35
URI:	http://repository.essex.ac.uk/id/eprint/14680

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