Artificial Neural Network Modeling of a Photovoltaic Module

摘要: This paper deals with the problem of designing an accurate and computationally fast model a particular real photovoltaic module. There are number well known theoretical models, but they need fine tuning several parameters, whose values often is difficult or impossible to estimate. The difficulty these calibration processes has driven research into approximation models that can be trained from data observed during working operation plant, i.e. Artificial Neural Network (ANN) models. In this we derive ANN ATERSA A55 module, showing all steps electrical devices needed reach objective.