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  • Departamento de Engenharia Mecatrônica
    Escola Politécnica - Universidade de São Paulo

Intelig{\^{e}}ncia HCR para Automa{\c{c}}{\~{a}}o de Servi{\c{c}}os em Smart Grids de Baixa Tens{\~{a}}o

Sicchar, Jos{\'{e}} R. and {De Freitas

Journal 
 
Autor 
Sicchar, Jos{\'{e}} R. and {De Freitas 
Book Title 
Proc. XI Simp{\'{o}}sio Bras. Automa{\c{c}}{\~{a}}o Intel. 2013 
Volume 
Página(s) 
1--6 
DOI 
 
Published 
2013 
Month 
Tipo de Documento 
Conference Proceedings 
Abstract 
This paper presents the results of the Hybrid Residential Consumption (HRC) intelligence to services automation in residential smart grids. Which is implemented using embedded intelligent agents (EIA) aiming the energy managing consump- tion (EMC). The same has a forecast process based on jump Markov chain to the future energy consumption, and also by a Mamdani Fuzzy inference machine to equilibrium residential feeder's diagnosis. The results show the energy consumption fore- casting during twelve months from history data base, and also an inference for allowed values of electrical current levels in each feeder. Thereby forming an intelligent automation process for low voltage smart grid that allow the applications of news services for residential consumers: the energy programming consumption, the costumed energy use, and the equilibrium state of residen- tial feeders, as well as the losses reduction on electric energy distribution grid. Keywords? 
Keywords 
EMC,Embedded Intelligent Agents,Fuzzy Systems.,Markov Chains,Smart Grid. 
Publisher 
 
URL