Zobrazeno 1 - 10
of 12
pro vyhledávání: '"E. M. Carreno"'
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2021-06-25T10:47:53Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-07-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Electrical load forecasting in disaggregated levels is a difficult ta
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2018-12-11T17:22:41Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-11-01 A new state estimation method for electrical power distribution systems using the Distflow formulation and the Weighted Least Square method t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3b549adc6ec71f7b76e511326bcc565
Publikováno v:
IEEE Transactions on Power Systems. 26:532-540
A method for spatial electric load forecasting using a reduced set of data is presented. The method uses a cellular automata model for the spatiotemporal allocation of new loads in the service zone. The density of electrical load for each of the majo
Publikováno v:
2014 IEEE Central America and Panama Convention (CONCAPAN XXXIV).
An optimization mathematical model to minimize the costs associated with energy not supplied and investments on the allocation of sectionalizing switches and tie lines between branches and / or feeders in primary distribution systems is presented. Th
Publikováno v:
PES T&D 2012.
A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In Electric Vehicle (PEV), especially suited to simulate the PEVs behavior on any distribution systems, is presented. This tool intends to complement information
Publikováno v:
2011 IEEE Power and Energy Society General Meeting.
A multi-agent framework for spatial electric load forecasting, especially suited to simulate the different dynamics involved on distribution systems, is presented. The service zone is divided into several sub-zones, each subzone is considered as an i
Publikováno v:
2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America (T&D-LA).
A method for spatial electric load forecasting using multi-agent systems, especially suited to simulate the local effect of special loads in distribution systems is presented. The method based on multi-agent systems uses two kinds of agents: reactive
Publikováno v:
Sba: Controle & Automação Sociedade Brasileira de Automatica v.21 n.4 2010
Sba: Controle & Automação Sociedade Brasileira de Automatica
Sociedade Brasileira de Automática (SBA)
instacron:SBA
SciELO
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Sba: Controle & Automação Sociedade Brasileira de Automatica, Volume: 21, Issue: 4, Pages: 379-388, Published: AUG 2010
Scopus-Elsevier
Sba: Controle & Automação Sociedade Brasileira de Automatica
Sociedade Brasileira de Automática (SBA)
instacron:SBA
SciELO
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Sba: Controle & Automação Sociedade Brasileira de Automatica, Volume: 21, Issue: 4, Pages: 379-388, Published: AUG 2010
Scopus-Elsevier
Submitted by Guilherme Lemeszenski (guilherme@nead.unesp.br) on 2013-08-22T18:58:38Z No. of bitstreams: 1 S0103-17592010000400005.pdf: 213509 bytes, checksum: fc3fc16f93f4a0a163cddafd7f570dc0 (MD5) Made available in DSpace on 2013-08-22T18:58:38Z (GM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7226ea95bc163a19b3986647a987283
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592010000400005
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592010000400005
Autor:
Antonio Padilha-Feltrin, E. M. Carreno
Publikováno v:
2009 15th International Conference on Intelligent System Applications to Power Systems.
An agent based model for spatial electric load forecasting using a local movement approach for the spatio- temporal allocation of the new loads in the service zone is presented. The density of electrical load for each of the major consumer classes in
Publikováno v:
2009 IEEE Power & Energy Society General Meeting.
Evolutionary algorithms have been used to try to solve distribution network reconfiguration for loss reduction problem with a certain degree of success. But some problems, specially related to a codification that is able to represent and work with a