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Smart home electricity management in the context of local power resources and smart grid

Journal Article


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Abstract


  • This work proposes a smart home electricity

    management approach that can predict and schedule electricity

    demand and supply by considering: the ‘state’ of the smart grid,

    local power generation capacity, and electrical consumption of

    household appliances. The prediction of weather conditions and

    the immediate and longer-term plans of the residential home

    occupants are crucial parameters in the smart home

    decision-making system that acts on behalf of the occupants.

    This paper provides a motivation example and associated

    scenarios, electrical energy supply/demand models,

    formalization of the cost optimization problem, and scheduling

    schemes for a smart home electricity management system in the

    context of a smart grid, smart appliances, and local renewable

    energy resources. A case study is provided to illustrate how the

    proposed approach works.

Publication Date


  • 2014

Citation


  • Zhao, W., Ding, L., Cooper, P. & Perez, P. (2014). Smart home electricity management in the context of local power resources and smart grid. Journal of Clean Energy Technologies, 2 (1), 73-79.

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2639&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1630

Number Of Pages


  • 6

Start Page


  • 73

End Page


  • 79

Volume


  • 2

Issue


  • 1

Place Of Publication


  • http://www.iacsitp.com/

Abstract


  • This work proposes a smart home electricity

    management approach that can predict and schedule electricity

    demand and supply by considering: the ‘state’ of the smart grid,

    local power generation capacity, and electrical consumption of

    household appliances. The prediction of weather conditions and

    the immediate and longer-term plans of the residential home

    occupants are crucial parameters in the smart home

    decision-making system that acts on behalf of the occupants.

    This paper provides a motivation example and associated

    scenarios, electrical energy supply/demand models,

    formalization of the cost optimization problem, and scheduling

    schemes for a smart home electricity management system in the

    context of a smart grid, smart appliances, and local renewable

    energy resources. A case study is provided to illustrate how the

    proposed approach works.

Publication Date


  • 2014

Citation


  • Zhao, W., Ding, L., Cooper, P. & Perez, P. (2014). Smart home electricity management in the context of local power resources and smart grid. Journal of Clean Energy Technologies, 2 (1), 73-79.

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2639&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1630

Number Of Pages


  • 6

Start Page


  • 73

End Page


  • 79

Volume


  • 2

Issue


  • 1

Place Of Publication


  • http://www.iacsitp.com/