dc.contributor | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2018-12-11T16:42:20Z | |
dc.date.available | 2018-12-11T16:42:20Z | |
dc.date.created | 2018-12-11T16:42:20Z | |
dc.date.issued | 2016-01-12 | |
dc.identifier | 2015 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT LATAM 2015, p. 591-596. | |
dc.identifier | http://hdl.handle.net/11449/168645 | |
dc.identifier | 10.1109/ISGT-LA.2015.7381221 | |
dc.identifier | 2-s2.0-84966589348 | |
dc.description.abstract | Electric energy demand in residences represents around 30% of the global demand. This requires a detailed knowledge about the electrical load patterns, leading to a change in final consumer behavior to reduce the general demand. This work uses a fuzzy system, considering the quantity of occupants in a Brazilian family in different periods of day aiming to obtain the residential electric load profile. | |
dc.language | eng | |
dc.relation | 2015 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT LATAM 2015 | |
dc.rights | Acesso aberto | |
dc.source | Scopus | |
dc.subject | Active occupation | |
dc.subject | Fuzzy Logic | |
dc.subject | Residential Load Curve | |
dc.title | Residential electric load curve profile based on fuzzy systems | |
dc.type | Actas de congresos | |