The increasing growth of electricity usage in buildings points out the significant role of residential users in the programs for the efficient control and management of electrical energy. The shaving of consumption peaks in household is becoming an integral part of the national energy strategies to reduce the risk of blackouts and ensure environmental sustainability of new urban context. This paper investigates the use of the paradigm of swarm intelligence to scheduling the operation of household appliances in order to reduce to smooth the variation and reduce the peak-to-average ratio of total electricity demand at home. Simulation results confirm the proposed approach.

Mangiatordi, F., Pallotti, E., DEL VECCHIO, P., Leccese, F. (2012). Power consumption scheduling for residential buildings. In Proceedings of the 11th International Conference on Environment and Electrical Engineering (EEEIC) (pp.926-930). IEEE [10.1109/EEEIC.2012.6221508].

Power consumption scheduling for residential buildings

MANGIATORDI, Federica;PALLOTTI, EMILIANO;DEL VECCHIO, Paolo;LECCESE, Fabio
2012-01-01

Abstract

The increasing growth of electricity usage in buildings points out the significant role of residential users in the programs for the efficient control and management of electrical energy. The shaving of consumption peaks in household is becoming an integral part of the national energy strategies to reduce the risk of blackouts and ensure environmental sustainability of new urban context. This paper investigates the use of the paradigm of swarm intelligence to scheduling the operation of household appliances in order to reduce to smooth the variation and reduce the peak-to-average ratio of total electricity demand at home. Simulation results confirm the proposed approach.
978-1-4577-1830-4
978-145771828-1
Mangiatordi, F., Pallotti, E., DEL VECCHIO, P., Leccese, F. (2012). Power consumption scheduling for residential buildings. In Proceedings of the 11th International Conference on Environment and Electrical Engineering (EEEIC) (pp.926-930). IEEE [10.1109/EEEIC.2012.6221508].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/175480
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