Data from multimodal functions based on an array of photovoltaic modules and an approximation with artificial neural networks as a scenario for testing optimization algorithms

This paper presents the data of multimodal functions that emulate the performance of an array of five photovoltaic modules under partial shading conditions. These functions were obtained through mathematical modeling and represent the P–V curves of a photovoltaic module with several local maximums a...

Full description

Autores:

Robles Algarín, Carlos
Restrepo-Leal, Diego
Ospino C., Adalberto

Tipo de recurso:

Article of journal

Fecha de publicación:

2019

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/7476

Acceso en línea:

https://hdl.handle.net/11323/7476
https://doi.org/10.1016/j.dib.2019.104669
https://repositorio.cuc.edu.co/

Palabra clave:

Artificial neural networks
Multimodal functions
Optimization algorithms
Partial shading
Photovoltaic modules

Rights

openAccess

License

Attribution-NonCommercial-NoDerivatives 4.0 International