Abstract: The demand for electricity in the market is expanding, and renewable energy sources are vital to the system'smanagement. Renewable energy is available in various ways,including solar and wind energy. The aim is to get the highest possible power point under different environmental circumstances. This article delves into the broad idea of MPPT techniques that considerably improve the efficiency of a PV system. This study compares the most common algorithms. Various MPPT algorithms were established for usage in PV systems to obtain Maximum PowerPoint; Depending on the circumstances and the application, these algorithms range from basic to complicated. In general, the most well-known MPPT methods include perturb and observe (PO), incremental conductance (INC), and artificial neural networks (ANN). In this work, we expect to detect the peak power point of a solar PV system using a machine learning approach. The training datasetmay include panel input variables such as solar irradiance, temp

• Publication Date: 11-Dec-2022
• DOI: 10.15224/978-1-63248-195-5-15
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Abstract: Radial basis functions (RBFs) are the functions whose values depend only on the distance from the point called center. These functions are employing in the approximation theory and they can be utilized in the point interpolation method as a type of meshless approach for constructing the shape function. This paper discusses on the results of RBF-based meshless numerical modeling of wave propagation for additional mass detection in isotropic rod which it can be assumed as damage. Number of nodes, position and magnitude of additional mass and the variation of multiauadric RBF parameters have been studied in this paper.

• Publication Date: 14-Jul-2013
• DOI: 10.15224/978-981-07-7021-1-42
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