This paper proposes an intelligent maximum power point tracking (MPPT) strategy based on
the combination of fuzzy logic control (FLC) and artificial neural network (ANN) to improve …

This paper deals with an intelligent-robust control method for maximum power point tracking
(MPPT) of photovoltaic (PV) system under irradiation conditions change. The proposed …

The power-voltage characteristic of photovoltaic (PV) systems operating under partial
shading conditions (PSCs) exhibits multiple local maximum power points (MPPs) …

Day to day increasing energy demand, depletion of conventional energy sources and
harmful effect of global warming open a vent to search alternative energy sources like solar …

This paper presents an artificial neural network (ANN) to predict the maximum power point
(MPP) of a proton exchange membrane fuel cell (PEMFC). First, the fuel cell is modeled and …

This paper proposes a new adaptive neural control (ANC) based strategy for maximum
power point tracking (MPPT) in a photovoltaic (PV) system. The proposed strategy exploits …

Today, thermoelectric generators (TEG) are of great interest since their prices are falling and
more areas of applications have appeared. In order to increase the TEG's low voltage and to …

This article outlines the development of a photovoltaic maximum power point tracker (MPPT)
based on a radial basis function artificial neural network (RBF ANN) and a boost converter …

A sensorless speed, average temperature and resistance estimation technique based on
Neural Network (NN) for brushed DC machines is proposed in this paper. The literature on …

Résumé Le travail réalisé durant cette courte période s' inscrit dans le cadre de l'intérêt que
porte notre université au développement des énergies renouvelables et aux solutions des …