Smart homes: Energy efficiency based on demand side management and game theoretic algorithm

Mohamed Sameer Hoosain; Suvendi Rimer; Babu Sena Paul

doi:10.2316/P.2016.839-014

Smart homes: Energy efficiency based on demand side management and game theoretic algorithm

Mohamed Sameer Hoosain
, Suvendi Rimer
, Babu Sena Paul

Electrical and Electronic Engineering Science

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

The smart home is an integral part of future energy management and control. The reduction of domestic energy consumption and improved energy efficiency of households will require intelligent systems that constantly monitor the household electricity usage and provides real-time updates to the user. This will lead to a bill reduction for households and energy efficiency. In this paper we investigate two concepts, namely; (i) the effect of a demand side management system, where a smart meter prototype was provided to each household depicting detailed and real-time information to the user, and (ii) a Game theoretic algorithm to manage and minimize the daily electricity expenditure and improve the energy efficiency of the domestic household. Computational results and data are provided and discussed that determine which system would work the best.

Original language	English
Title of host publication	Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016
Publisher	ACTA Press
Pages	381-387
Number of pages	7
ISBN (Electronic)	9780889869844
DOIs	https://doi.org/10.2316/P.2016.839-014
Publication status	Published - 2016
Event	5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016 - Gaborone, Botswana Duration: 5 Sept 2016 → 7 Sept 2016

Publication series

Name	Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016

Conference

Conference	5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016
Country/Territory	Botswana
City	Gaborone
Period	5/09/16 → 7/09/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Demand side management (DSM) and game theoretic algorithm
Energy management
Smart homes

ASJC Scopus subject areas

Fuel Technology
Energy Engineering and Power Technology

Access to Document

10.2316/P.2016.839-014

Cite this

Hoosain, M. S., Rimer, S., & Paul, B. S. (2016). Smart homes: Energy efficiency based on demand side management and game theoretic algorithm. In Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016 (pp. 381-387). (Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016). ACTA Press. https://doi.org/10.2316/P.2016.839-014

Hoosain, Mohamed Sameer ; Rimer, Suvendi ; Paul, Babu Sena. / Smart homes : Energy efficiency based on demand side management and game theoretic algorithm. Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016. ACTA Press, 2016. pp. 381-387 (Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016).

@inproceedings{30de3a335608416da6bb335557c8c0ee,

title = "Smart homes: Energy efficiency based on demand side management and game theoretic algorithm",

abstract = "The smart home is an integral part of future energy management and control. The reduction of domestic energy consumption and improved energy efficiency of households will require intelligent systems that constantly monitor the household electricity usage and provides real-time updates to the user. This will lead to a bill reduction for households and energy efficiency. In this paper we investigate two concepts, namely; (i) the effect of a demand side management system, where a smart meter prototype was provided to each household depicting detailed and real-time information to the user, and (ii) a Game theoretic algorithm to manage and minimize the daily electricity expenditure and improve the energy efficiency of the domestic household. Computational results and data are provided and discussed that determine which system would work the best.",

keywords = "Demand side management (DSM) and game theoretic algorithm, Energy management, Smart homes",

author = "Hoosain, \{Mohamed Sameer\} and Suvendi Rimer and Paul, \{Babu Sena\}",

year = "2016",

doi = "10.2316/P.2016.839-014",

language = "English",

series = "Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016",

publisher = "ACTA Press",

pages = "381--387",

booktitle = "Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016",

address = "Canada",

note = "5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016 ; Conference date: 05-09-2016 Through 07-09-2016",

}

Hoosain, MS, Rimer, S & Paul, BS 2016, Smart homes: Energy efficiency based on demand side management and game theoretic algorithm. in Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016. Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016, ACTA Press, pp. 381-387, 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016, Gaborone, Botswana, 5/09/16. https://doi.org/10.2316/P.2016.839-014

Smart homes: Energy efficiency based on demand side management and game theoretic algorithm. / Hoosain, Mohamed Sameer; Rimer, Suvendi; Paul, Babu Sena.
Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016. ACTA Press, 2016. p. 381-387 (Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Smart homes

T2 - 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016

AU - Hoosain, Mohamed Sameer

AU - Rimer, Suvendi

AU - Paul, Babu Sena

PY - 2016

Y1 - 2016

N2 - The smart home is an integral part of future energy management and control. The reduction of domestic energy consumption and improved energy efficiency of households will require intelligent systems that constantly monitor the household electricity usage and provides real-time updates to the user. This will lead to a bill reduction for households and energy efficiency. In this paper we investigate two concepts, namely; (i) the effect of a demand side management system, where a smart meter prototype was provided to each household depicting detailed and real-time information to the user, and (ii) a Game theoretic algorithm to manage and minimize the daily electricity expenditure and improve the energy efficiency of the domestic household. Computational results and data are provided and discussed that determine which system would work the best.

AB - The smart home is an integral part of future energy management and control. The reduction of domestic energy consumption and improved energy efficiency of households will require intelligent systems that constantly monitor the household electricity usage and provides real-time updates to the user. This will lead to a bill reduction for households and energy efficiency. In this paper we investigate two concepts, namely; (i) the effect of a demand side management system, where a smart meter prototype was provided to each household depicting detailed and real-time information to the user, and (ii) a Game theoretic algorithm to manage and minimize the daily electricity expenditure and improve the energy efficiency of the domestic household. Computational results and data are provided and discussed that determine which system would work the best.

KW - Demand side management (DSM) and game theoretic algorithm

KW - Energy management

KW - Smart homes

UR - https://www.scopus.com/pages/publications/85015712427

U2 - 10.2316/P.2016.839-014

DO - 10.2316/P.2016.839-014

M3 - Conference contribution

AN - SCOPUS:85015712427

T3 - Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016

SP - 381

EP - 387

BT - Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016

PB - ACTA Press

Y2 - 5 September 2016 through 7 September 2016

ER -

Hoosain MS, Rimer S, Paul BS. Smart homes: Energy efficiency based on demand side management and game theoretic algorithm. In Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016. ACTA Press. 2016. p. 381-387. (Proceedings of the 5th IASTED International Conference on Power and Energy Systems, AfricaPES 2016). doi: 10.2316/P.2016.839-014

Smart homes: Energy efficiency based on demand side management and game theoretic algorithm

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this