| 1 |
New neural network and fuzzy logic controllers to monitor maximum power for wind energy conversion system
Medjber A, Guessoum A, Belmili H, Mellit A
Energy, 106, 137, 2016 |
| 2 |
Experimental analysis of the maximum power point's properties for four photovoltaic modules from different technologies: Monocrystalline and polycrystalline silicon, CIS and CdTe
Amrouche B, Sicot L, Guessoum A, Belhamel M
Solar Energy Materials and Solar Cells, 118, 124, 2013 |
| 3 |
A simple behavioural model for solar module electric characteristics based on the first order system step response for MPPT study and comparison
Amrouche B, Guessoum A, Belhamel M
Applied Energy, 91(1), 395, 2012 |
| 4 |
FPGA-based implementation of a fuzzy controller (MPPT) for photovoltaic module
Messai A, Mellit A, Pavan AM, Guessoum A, Mekki H
Energy Conversion and Management, 52(7), 2695, 2011 |
| 5 |
Maximum power point tracking using a GA optimized fuzzy logic controller and its FPGA implementation
Messai A, Mellit A, Guessoum A, Kalogirou SA
Solar Energy, 85(2), 265, 2011 |
| 6 |
An adaptive artificial neural network model for sizing stand-alone photovoltaic systems: application for isolated sites in Algeria
Mellit A, Benghanem M, Arab AH, Guessoum A
Renewable Energy, 30(10), 1501, 2005 |
| 7 |
A simplified model for generating sequences of global solar radiation data for isolated sites: Using artificial neural network and a library of Markov transition matrices approach
Mellit A, Benghanem M, Arab AH, Guessoum A
Solar Energy, 79(5), 469, 2005 |
