Load Profile Analysis Tool for Electrical Appliances in Households Assisted by CPS

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dc.contributor.authorRodrigues, Filipe
dc.contributor.authorCardeira, Carlos
dc.contributor.authorCalado, João
dc.contributor.authorMelício, Rui
dc.contributor.authorRui, Melício
dc.date.accessioned2017-01-10T15:41:19Z
dc.date.available2017-01-10T15:41:19Z
dc.date.issued2016-12-26
dc.description.abstractThis paper presents a methodology to forecast the hourly and daily consumption in households assisted by cyber physical systems. The methodology was validated using a database of consumption of a set of 93 domestic consumers. Forecast tools used were based on Fast Fourier Series and Generalized Reduced Gradient. Both tools were tested and their forecast results were compared. The paper shows that both tools allow obtaining satisfactory results for energy consumption forecasting.por
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailruimelicio@gmail.com
dc.identifier.authoremailnd
dc.identifier.doi10.1016/j.egypro.2016.12.117por
dc.identifier.revistahttp://www.sciencedirect.com/science/article/pii/S1876610216316757
dc.identifier.scientificarea489por
dc.identifier.urihttp://dx.doi.org/10.1016/j.egypro.2016.12.117
dc.identifier.urihttp://hdl.handle.net/10174/19696
dc.language.isoengpor
dc.peerreviewedyespor
dc.rightsopenAccesspor
dc.subjectEnergy consumptionpor
dc.subjectload managementpor
dc.subjectsupply and demandpor
dc.subjectSmart meterspor
dc.subjectpredictive modelspor
dc.titleLoad Profile Analysis Tool for Electrical Appliances in Households Assisted by CPSpor
dc.typearticlepor

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