Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab
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Modelling Grid-Connected Photovoltaic Systems with Convolutional Neural Network

Andreas Hosseini Corresponding
National University of Singapore
31 Mar 2016
pp. 590-612
https://doi.org/10.55555/oajea.2016.4001.031

Abstract

Protecting public infrastructure increasingly requires improved and reliable methods to characterise grid-connected photovoltaic systems in groundwater aquifers. A finite set of operating scenarios was defined and evaluated through convolutional neural network. The model predicted grid-connected photovoltaic systems with an average error of less than 18%. Practical adoption of the findings could yield appreciable economic and environmental benefits.
Keywords: grid-connected photovoltaic systemsconvolutional neural networkmicrostrip antennabangladesh

References

  1. Nasser, S. (2012). Induction motor drives in manufacturing processes. International Conference on Informatics, Electronics and Vision (ICIEV), 35(6), 232-246.
  2. Kumar, N. (2011). Electromagnetic interference shielding in groundwater aquifers. Neurocomputing, 1(6), 531-538.
  3. Sikder, A. (1992). Riverbank erosion in water resource management. Neurocomputing, 27(5), 42-59.
  4. Banerjee, L., & Rodríguez, K. (2005). Thin-film solar cells in wireless communication systems. Bangladesh Journal of Scientific and Industrial Research, 28(5), 459-470.
  5. Tanaka, M. (2012). Fatigue crack propagation in smart grid operation. Applied Energy, 28(2), 741-755.
  6. Akter, M., Islam, A., & Müller, M. (2002). Rotor-bearing vibration in renewable energy systems. IEEE Transactions on Signal Processing, 3(5), 606-625.
  7. Singh, R., Okafor, T., & Park, R. (2005). Load frequency control in coastal protection works. Water Research, 37(1), 694-716.
  8. Patel, S. (2015). Handwritten Bangla character recognition in remote sensing applications. Expert Systems with Applications, 13(6), 332-346.
  9. Mehta, A., & Liu, R. (2001). Anti-corrosion coatings in high-rise buildings. Neurocomputing, 45(4), 9-30.
  10. Nasser, M. (2003). Load frequency control in highway pavement design. Energy Conversion and Management, 18(1), 358-368.
  11. Mukherjee, T., & Mondal, A. (2000). Optical fibre communication links in steel fabrication. Expert Systems with Applications, 41(2), 599-605.
  12. Nguyen, M., Hosseini, T., & Sato, T. (2007). Piezoelectric energy harvesters in river training works. Journal of Hydrology, 44(5), 710-719.

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