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Prediction of Electric Power Generation of Solar Cell Using the Neural Network

  • Masashi Kawaguchi
  • Sachiyoshi Ichikawa
  • Masaaki Okuno
  • Takashi Jimbo
  • Naohiro Ishii
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4252)

Abstract

We proposed the prediction system of electric power generation of solar cell using neural network. Recently, the solar cell system is developing in many fields. However this system is easily to influence by the weather condition. In the practical application, it has been required the prediction of electric power generation. By this system, it is possible to make the planning of supply and the security of alternative power source. This prediction system is used neural network system and it can predict the integral power consumption, largest electric power and time-serial prediction.

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References

  1. 1.
    Yamamoto, S., Park, J.S., Takata, M., Sasaki, K., Hashimoto, T.: Basic study on the prediction of solar irradiation and its application to photovoltaic-diesel hybrid generation system. Journal of Solar Energy Materials & Solar Cells 75(3–4), 577–584 (2003)CrossRefGoogle Scholar
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    Rumellhart, D.E., Hinton, G.E., Williams, R.J.: Learning internal representations by error propagation, Parallel distributed processing, pp. 318–362. MIT Press, Cambridge (1986)Google Scholar
  3. 3.
    Ichikawa, S., Kawaguchi, M., Okuno, M.: Measurement and Prediction of Electric Power Generation of Solar Cell Using the Neural Network, Record of Tokai-Section Joint Conference of the Eight Institutes of Electrical and Relater Engineers, 34 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Masashi Kawaguchi
    • 1
  • Sachiyoshi Ichikawa
    • 1
  • Masaaki Okuno
    • 1
  • Takashi Jimbo
    • 2
  • Naohiro Ishii
    • 3
  1. 1.Department of Electrical & Electronic EngineeringSuzuka National College of TechnologySuzukaJapan
  2. 2.Department of Environmental Technology and Urban Planning Graduate School of EngineeringNagoya Institute of TechnologyNagoyaJapan
  3. 3.Department of Information Network EngineeringAichi Institute of TechnologyJapan

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