dc.contributor | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2018-11-26T17:24:23Z | |
dc.date.available | 2018-11-26T17:24:23Z | |
dc.date.created | 2018-11-26T17:24:23Z | |
dc.date.issued | 2015-01-01 | |
dc.identifier | 2015 Ieee Pes Innovative Smart Grid Technologies Latin America (isgt Latam). New York: Ieee, p. 591-596, 2015. | |
dc.identifier | http://hdl.handle.net/11449/162669 | |
dc.identifier | WOS:000398603600104 | |
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.publisher | Ieee | |
dc.relation | 2015 Ieee Pes Innovative Smart Grid Technologies Latin America (isgt Latam) | |
dc.rights | Acesso aberto | |
dc.source | Web of Science | |
dc.subject | Residential Load Curve | |
dc.subject | Active occupation | |
dc.subject | Fuzzy Logic | |
dc.title | Residential Electric Load Curve Profile Based on Fuzzy Systems | |
dc.type | Actas de congresos | |