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dc.contributor.authorSouhil, MOUASSA-
dc.date.accessioned2022-03-01T09:44:39Z-
dc.date.available2022-03-01T09:44:39Z-
dc.date.issued2021-04-19-
dc.identifier.citationElsevieren_US
dc.identifier.urihttp://dspace.univ-bouira.dz:8080/jspui/handle/123456789/12357-
dc.description.abstractowadays, electricity end users can choose among a huge variety of different electricity plans on a deregulated energy market. The wide variety of tariffs besides the advent of novel agents like smart consumers and prosumers, are becoming the tariff-choosing process more complex. This paper proposes a MILP optimization framework which aims at facilitating this task. More precisely, the main endings of the developed framework are: (i) determine the most suitable tariff for smart consumers and prosumers based on historical consumption data, (ii) determine the optimal hours to be hired for a so-called ‘Happy hours’ tariff plan. In addition, other useful results can be directly obtained from the developed tool. The developed approach carries out a MILP optimization framework for optimal scheduling a series of flexible appliances through various characteristic days obtained from clustering historical collected data …en_US
dc.language.isoenen_US
dc.publisheruniversity bouiraen_US
dc.titleA MILP Framework for Electricity Tariff-choosing Decision Process in Smart Homes Considering ‘Happy Hours’ Tariffsen_US
dc.typeArticleen_US
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