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The number of electronic applications using artificial neural network-based (ANN) solutions has increased considerably in the last few years. However, the ANN- application in photovoltaic systems is very limited. This paper introduces the preliminary result of the modeling and simulation of photovoltaic panel based on ANN and VHDL-language. In fact, an experimental database of meteorological data...
Total solar radiation data is considered the most important parameter in renewable energy application, particularly for sizing photovoltaic (PV) system. However, these data are not always available particularly in isolated sites due to the non-availability of the meteorological stations in these sites. Fortunately, the mean temperature and the sunshine duration are always available because we can...
Due to the increasing need for intelligent systems, the adaptive neuro-fuzzy inference system (ANFIS) has recently attracted the attention of researchers in various scientific and engineering areas. The purpose of this work is to present the modeling of a photovoltaic power supply (PVPS) system using an ANFIS. For the modeling of the PVPS system, it is required to find suitable models for its different...
Stand-alone photovoltaic power supply (SAPVPS) systems are widely used in renewable energy source (RES) application in order to product electricity particularly in remote areas. In this paper, the development of an expert configuration of PV power supply systems based on ANFIS model is described. The proposed configuration combines a PV system, data acquisition card, and an adaptive neuro-fuzzy inference...
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