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

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.