Load Profile Analysis Tool for Electrical Appliances in Households

dc.contributor.authorRodrigues, Filipe
dc.contributor.authorCardeira, Carlos
dc.contributor.authorCalado, João
dc.contributor.authorMelício, Rui
dc.date.accessioned2016-12-20T18:00:27Z
dc.date.available2016-12-20T18:00:27Z
dc.date.issued2016-02-05
dc.description.abstractThis paper presents a methodology to forecast the hourly and daily consumption in households. The methodology was validated for households in Lisbon region, Portugal. The paper shows that the forecast tool allows obtaining satisfactory results for forecasting. Models of demand response allow the support of consumer’s decision in exchange for an economic benefit by the redefinition of load profile or changing the appliance consumption period. It is also in the interest of electric utilities to take advantage of these changes, particularly when consumers have an action on the demand-side management or production. Producers need to understand the load profile of households that are connected to a smart grid, to promote a better use of energy, as well as optimize the use of micro-generation from renewable sources, not only to delivering to the network but also in self-consumption.por
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailruimelicio@gmail.com
dc.identifier.uri1st Energy Economics Iberian Conference, EEIC | CIEE 2016, February 4-5, Lisbon, Portugal
dc.identifier.urihttp://hdl.handle.net/10174/19405
dc.identifier.withinvitedoralpresentationnaopor
dc.identifier.withoralpresentationsimpor
dc.identifier.withposternaopor
dc.language.isoengpor
dc.rightsopenAccesspor
dc.subjectEnergy consumptionpor
dc.subjectload managementpor
dc.subjectsupply and demandpor
dc.subjectsmart gridspor
dc.subjectpredictive modelspor
dc.titleLoad Profile Analysis Tool for Electrical Appliances in Householdspor
dc.typelecturepor

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