Designing and testing decision support and energy management systems for smart homes

Pierluigi Siano, Giorgio Graditi, Mauro Atrigna, Antonio Piccolo

Research output: Contribution to journalArticle

45 Citations (Scopus)

Abstract

Most advantages that the smart grid will bring derive from its capability of improving reliability performance and customers' responsiveness and encouraging greater efficiency decisions by the costumers. Demand side management is, therefore, considered as an integral part of the smart grid and one of the most important methods of energy saving. Accordingly, an innovative decision support and energy management system (DSEMS) for residential applications is proposed in this paper. The DSEMS is represented as a finite state machine and consists of a series of scenarios that may be selected according to the user preferences. The designing and testing methods are described and some simulations results are presented in order to verify its effectiveness both in terms of continuity of electricity supply and energy savings and economics. © 2013 European Union.
Original languageEnglish
Pages (from-to)651 - 661
Number of pages11
JournalJournal of Ambient Intelligence and Humanized Computing
Volume4
Issue number6
DOIs
Publication statusPublished - Dec 2013

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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