Predictability of PV power grid performance on insular sites without weather stations: use of artificial neural networks

However, it seems to be little awareness, among researchers using artificial neural networks in catal- ysis, of the difference among the symbolic nature of the knowledge obtained

Sustainable clustering, customers’ clustering, distribution companies, capacitive artificial neural network, neural gas network (NGN).. 1 SAP, Software Company,

Prediction of the daily global solar Irradiation of the great Maghreb region using the complex-valued neural networks.. Baddari Laboratory of Computer Science,

To estimate the daily global solar irradiation (GSI) on horizontal surface, we have developed eight models by using four weather input parameters collected from a radiometric

In this paper, we introduce a methodology that consists in training deep neural networks to predict the frame error rate of polar codes based on their frozen bit construction

The estimation of average hourly solar radiation was tried based on the parameters and ground recorded data from the measurement site applying DM and GRNN models.. These

High- quality 1 min measurements of global, diffuse and direct collected by the BSRN station in Carpentras in France, are aggregated to yield hourly irradiation, and used to assess

Hexafluoropropylene P, ρ, T data measured at 11 temperatures from 263 to 362 K and at pressures up to 10 MPa have been examined through a consistency test presented herein and