• Title/Summary/Keyword: Accuweather

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Development of Solar Power Output Prediction Method using Big Data Processing Technic (태양광 발전량 예측을 위한 빅데이터 처리 방법 개발)

  • Jung, Jae Cheon;Song, Chi Sung
    • Journal of the Korean Society of Systems Engineering
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    • v.16 no.1
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    • pp.58-67
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    • 2020
  • 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.