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dc.contributor.authorAnuebunwa, U.R.*
dc.contributor.authorRajamani, Haile S.*
dc.contributor.authorPillai, Prashant*
dc.contributor.authorOkpako, O.*
dc.date.accessioned2017-01-10T15:46:17Z
dc.date.available2017-01-10T15:46:17Z
dc.date.issued2016-11-24
dc.identifier.citationAnuebunwa UR, Rajamani H-S, Pillai P et al (2016) Investigating the impact of discomfort in load scheduling using genetic algorithm. In: 2016 IEEE International Conference on Power System Technology (POWERCON). 28 Sep-1 Oct 2016, Wollongong, Australia.en_US
dc.identifier.urihttp://hdl.handle.net/10454/11086
dc.descriptionYesen_US
dc.description.abstractEnergy consumers oftentimes suffer some element of discomfort associated with the implementation of demand response programs as they aim to follow a suggested energy consumption profile generated from scheduling algorithms for the purpose of optimizing grid performance. This is because people naturally do not like to be told what to do or when to use their appliances. Although advances in renewable energy have made the consumer to also become energy supplier, who can actively cash in at times of the day when energy cost is high to either sell excess energy generated or consume it internally if required, thereby nullifying the adverse effect of this discomfort. But a majority of consumers still rely wholly on the supply from the grid. This impact on users' comfort who are active participants in demand response programs was investigated and ways to minimizing load scheduling discomfort was sought in order to encourage user participation.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://dx.doi.org/10.1109/POWERCON.2016.7754007en_US
dc.rights© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.subjectScheduling; Demand response; Discomfort; Genetic algorithm; Load profilesen_US
dc.titleInvestigating the impact of discomfort in load scheduling using genetic algorithmen_US
dc.status.refereedYesen_US
dc.typeConference paperen_US
dc.type.versionAccepted Manuscripten_US
refterms.dateFOA2018-07-25T15:55:52Z


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