Artificial neural network applied to estimate the power output of bipv systems
This paper presents an artificial neural network (ANN) model to estimate the power generated by integrated photovoltaic systems in buildings - BIPVS. The model has as primordial variables, the solar radiation and the ambient temperature of the site of installation of the photovoltaic generator and i...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/9281
- Palabra clave:
- Photovoltaic systems
Artificial neural network
Power output
BIPVS modelling
Computadores neuronales -- Investigaciones
Generadores de energía fotovoltaica
- Rights
- License
- Abierto (Texto Completo)