Artificial neural network for real time modelling of photovoltaic system under partial shading

Di Vincenzo, Maria Carla; (2010) Artificial neural network for real time modelling of photovoltaic system under partial shading. In: 2010 IEEE International Conference on Sustainable Energy Technologies (ICSET). IEEE, GBR. ISBN 9781424471928 (https://doi.org/10.1109/ICSET.2010.5684464)

Abstract

Shading caused by surrounding objects is an important issue for solar energy system design and analysis. In the special case of building integrated photovoltaic (BIPV) systems, the prediction of the partial shading is critical in order to reduce losses due to poor Maximum Power Point Tracking (MPPT). This paper will present a technique that uses Artificial Neural Network to predict the output power from a photovoltaic array in case of partial shading.

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• Item metadata

  Item type:	Book Section
  ID code:	46371
  Dates:	Date Event December 2010 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Pure Administrator
  Date deposited:	20 Dec 2013 10:12
  Last modified:	20 Dec 2024 16:20
  Related URLs:	Scopus publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/46371