Journal of the Korean Society of Systems Engineering (시스템엔지니어링학술지)

The Korean Society of Systems Engineering (한국시스템엔지니어링학회)
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Development of Solar Power Output Prediction Method using Big Data Processing Technic

태양광 발전량 예측을 위한 빅데이터 처리 방법 개발

  • Received : 2020.04.28
  • Accepted : 2020.06.17
  • Published : 2020.06.30
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Abstract

A big data processing method to predict solar power generation using systems engineering approach is developed in this work. For developing analytical method, linear model (LM), support vector machine (SVN), and artificial neural network (ANN) technique are chosen. As evaluation indices, the cross-correlation and the mean square root of prediction error (RMSEP) are used. From multi-variable comparison test, it was found that ANN methodology provides the highest correlation and the lowest RMSEP.

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References

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