A. Massi Pavan

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This work proposes a novel fault diagnostic technique for photovoltaic systems based on Artificial Neural Networks (ANN). For a given set of working conditions solar irradiance and photovoltaic (PV) module's temperature a number of attributes such as current, voltage, and number of peaks in the current evoltage (IeV) characteristics of the PV strings are(More)
The world total photovoltaic (PV) installed capacity is growing very quickly, due to both government incentives and increased environmental concerns. This situation calls for the realization of large, grid-connected ldquoindustrialrdquo PV plants, aimed at delivering energy to the grid. However, the cost/kWh of PV energy is still quite high. This paper(More)
This contribution proposes a study of the energy nedeed to the greenhouse for a fixed cultivation and with the evaluation of the Levelized Cost Of Energy (LCOE). Since the micro-climate condition is a pre-requisite for each cultivation, then a devoted design is absolutely necessary. For this aim, a comparison has been made among three typologies of(More)
Grid parity, where the cost of the kilowatt-hour produced by photovoltaics is less than the price of the kilowatt-hour acquired from the grid, is a recent success that in Italy made photovoltaics competitive even without incentives, and leads the continuing record-breaking growth at the global level of this technology. In this work, we show a sensitivity(More)
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