Feature extraction for nonintrusive load monitoring based on S-Transform
The electric energy demand is dramatically growing worldwide and demand reduction emerges as an outstanding strategy; it implies detailed information about the electricity consumption, namely load disaggregation. Typical automatic methods for load disaggregation require high hardware efforts to inst...
- Autores:
-
Jiménez, Yulieth
Duarte, Cesar A.
Petit, Johann
Carrillo Caicedo, Gilberto
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_c94f
- Fecha de publicación:
- 2014
- Institución:
- Universidad de Santander
- Repositorio:
- Repositorio Universidad de Santander
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.udes.edu.co:001/3549
- Acceso en línea:
- https://repositorio.udes.edu.co/handle/001/3549
- Palabra clave:
- Feature extraction
Nonintrusive load monitoring
Stockwell transform
Support vector machine
Wavelet transform
- Rights
- openAccess
- License
- Derechos Reservados - Universidad de Santander, 2014