A radial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic module

08/11/2013
by   Francesco Bonanno, et al.
0

The design process of photovoltaic (PV) modules can be greatly enhanced by using advanced and accurate models in order to predict accurately their electrical output behavior. The main aim of this paper is to investigate the application of an advanced neural network based model of a module to improve the accuracy of the predicted output I--V and P--V curves and to keep in account the change of all the parameters at different operating conditions. Radial basis function neural networks (RBFNN) are here utilized to predict the output characteristic of a commercial PV module, by reading only the data of solar irradiation and temperature. A lot of available experimental data were used for the training of the RBFNN, and a backpropagation algorithm was employed. Simulation and experimental validation is reported.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/14/2023

Pedestrian Recognition with Radar Data-Enhanced Deep Learning Approach Based on Micro-Doppler Signatures

As a hot topic in recent years, the ability of pedestrians identificatio...
research
08/19/2022

ACO based Adaptive RBFN Control for Robot Manipulators

This paper describes a new approach for approximating the inverse kinema...
research
08/07/2014

Face Detection Using Radial Basis Functions Neural Networks With Fixed Spread

This paper presented a face detection system using Radial Basis Function...
research
03/09/2023

Provable Data Subset Selection For Efficient Neural Network Training

Radial basis function neural networks (RBFNN) are well-known for their c...
research
02/15/2021

Improving the Accuracy Of MEPDG Climate Modeling Using Radial Basis Function

In this paper, the accuracy of two mesh-free approximation approaches, t...
research
01/09/2014

Radial basis function process neural network training based on generalized frechet distance and GA-SA hybrid strategy

For learning problem of Radial Basis Function Process Neural Network (RB...
research
11/17/2019

RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks

In this paper we propose a highly efficient and very accurate method for...

Please sign up or login with your details

Forgot password? Click here to reset