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dc.contributor.authorAlfaverh, Fayiz
dc.contributor.authorDenai, Mouloud
dc.contributor.authorAlfaverh, Khaldoon
dc.date.accessioned2019-07-31T17:08:00Z
dc.date.available2019-07-31T17:08:00Z
dc.date.issued2019-07-31
dc.identifier.citationAlfaverh , F , Denai , M & Alfaverh , K 2019 , ' Demand-Response Based Energy Advisor for Household Energy Management ' , Paper presented at World Conference on Smart Trends in Systems, Security & Sustainability , London , United Kingdom , 30/07/19 - 31/07/19 .
dc.identifier.citationconference
dc.identifier.urihttp://hdl.handle.net/2299/21522
dc.description.abstractHome energy management systems (HEMS) are set to play a key role in the future smart grid (SG). HEMS concept enables residential customers to actively participate in demand response programs (DR) to control their energy usage, reduce peak demand and therefore contribute to improve the performance and reliability of the grid. The aim of this paper is to propose an energy management strategy for residential end-consumers. In this framework, a demand response strategy is developed to reduce home energy consumption. The proposed algorithm seeks to minimise peak demand by scheduling household appliances operation and shifting controllable loads during peak hours, when electricity prices are high, to off-peak periods, when electricity prices are lower without affecting the customer’s preferences. The overall system is simulated using MATLAB/Simulink and the results demonstrate the effectiveness of the proposed control strategy in managing the daily household energy consumption.en
dc.format.extent1149599
dc.language.isoeng
dc.titleDemand-Response Based Energy Advisor for Household Energy Managementen
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionCommunications and Intelligent Systems
dc.contributor.institutionSchool of Engineering and Technology
dc.description.statusPeer reviewed
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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