Artificial neural network-based modelling and fault detection of partial shaded photovoltaic modules


In this paper, a fault detection method for photovoltaic module under partially shaded conditions is introduced. It consists to use an artificial neural network in order to estimate the output photovoltaic current and voltage under variable working conditions. The measured data (solar irradiance, cell temperature, photovoltaic current and voltage) at… (More)
DOI: 10.1016/j.simpat.2016.05.005


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