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 longerterm 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.
| Main Authors: | , , , |
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| Format: | article biblioteca |
| Language: | eng |
| Subjects: | P05 - Ressources énergétiques et leur gestion, 000 - Autres thèmes, énergie électrique, énergie renouvelable, consommation des ménages, consommation d'énergie, météorologie, régulation de la production, production énergétique, biomasse, gestion des ressources, http://aims.fao.org/aos/agrovoc/c_28005, http://aims.fao.org/aos/agrovoc/c_25719, http://aims.fao.org/aos/agrovoc/c_3674, http://aims.fao.org/aos/agrovoc/c_16121, http://aims.fao.org/aos/agrovoc/c_4783, http://aims.fao.org/aos/agrovoc/c_6201, http://aims.fao.org/aos/agrovoc/c_24836, http://aims.fao.org/aos/agrovoc/c_926, http://aims.fao.org/aos/agrovoc/c_6524, |
| Online Access: | http://agritrop.cirad.fr/571838/ http://agritrop.cirad.fr/571838/1/document_571838.pdf |
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| Summary: | 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 longerterm 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. |
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