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.