Hybrid approach for an optimal adjustement of a knowledge-based regression technique for locating faults in power distribution systems

This paper is focused in the development of a hybrid approach based on support vector machines (SVMs) which are used as a regression technique and also in the Chu-Beasley genetic algorithm (CBGA) which is used as an optimization technique to solve the problem of fault location. The proposed strategy...

Full description

Autores:
Correa Tapasco, Ever
Mora Flórez, Juan José
Pérez-Londoño, Sandra Milena
Tipo de recurso:
Article of journal
Fecha de publicación:
2011
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/40448
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/40448
http://bdigital.unal.edu.co/30545/
Palabra clave:
fault location
genetic algorithms
power distribution systems
regression
support vector machines
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional