Power consumption scheduling for residential buildings
- 1 May 2012
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2012 11th International Conference on Environment and Electrical Engineering
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.Keywords
This publication has 8 references indexed in Scilit:
- Particle swarm optimizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- A neural network model for optimal demand management contract designPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Near optimal demand-side energy management under real-time demand-response pricingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart gridPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Computational IntelligencePublished by Wiley ,2007
- An OSGI and agent based control system architecture for smart homePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- An optimization mode for industrial load managementIEEE Transactions on Power Systems, 2001
- Swarm IntelligencePublished by Oxford University Press (OUP) ,1999