<p>This paper presents Performance Enhancement of Solar Powered Floating Photovoltaic System using Arduino Approach. In the project, an Arduino nano as a main controller of the system. The objective of this project to monitor performance of the voltage, current and power output respectively. Furthermore, the prototype of the research is testing in two conditions: on water surface and on a land area. Based on the results, the power of the photovoltaic on the water surface is increased compared on the land area. The conclusion for this project is it can generate electricity using floating photovoltaic and the same time to monitor output of the system.</p>
<span>Artificial Neural Network (ANN) techniques are becoming useful in the current era due to the vast development of the current computer technologies. ANN has been used in various fields especially in the field of science and technology. One of the advantage that makes ANN so interesting is the ANN’s ability to learn the input and output relationship even though the relationship is non-linear. In addition, ANN is also useful for modelling, optimization, prediction, forecasting, and controlling systems. The main objective of this paper is to present a review of the ANN techniques for sizing a stand-alone photovoltaic (PV) system. The review in this paper shows the potential of ANN as a design tool for a stand-alone PV. In addition, ANN is very useful to improve the sizing process of the stand-alone PV system. The sizing process is of paramount importance to a stand-alone PV system in order to make sure the system can generate ample electrical energy to supply the load demand.</span>
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