Forecasting of solar PV output power using artificial neural network

ISSN: 22498958
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The rapid increase of variable renewable energy resources like PV and Wind has become difficult on the grid side because of their output variations. The PV generation is irregular that can’t carryout constant power. Through the prediction variety of the uncertainties are going to be reduced. the amount of irradiance and temperature received at a specific area is that the foremost important meteoric parameter for prediction of solar PV power. The irradiance and temperature information used for this analysis is collected from KLEF with a span of one year.In this paper an approach is proposed in which the PV output power is predicted using ANN.

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Vasudha, M., Dukkipati, S., & Chandhan, S. H. (2019). Forecasting of solar PV output power using artificial neural network. International Journal of Engineering and Advanced Technology, 8(4), 1225–1227.

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