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...
- 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