2019 Vol.2 Oct. No.5

• Title: Research on Analysis and Prediction Algorithm of Short-term Photovoltaic Data in Big Data Environment
• Name: Graciela Keary
• Company: Inje University
• Abstract:

  The traditional power generation data analysis and prediction algorithm is costly, but the accuracy is poor. Aiming at the above problems, a new power generation data analysis and prediction algorithm is studied. The algorithm structure is designed and divided into input layer, hidden layer and output layer. The calculation process is introduced. It consists of three steps: input data, model building and data prediction. In order to detect the actual effect of the prediction algorithm, a contrast experiment was designed. It can be seen from the experimental results that the designed data analysis and prediction algorithm has low cost and good accuracy. This study has important guiding significance for power generation data analysis.

• Keyword: Big Data; Photovoltaic Power Generation; Data Analysis And Prediction; Algorithm;
• DOI: 10.12250/jpciams2019050543
• Citation form: Graciela Keary.Research on Analysis and Prediction Algorithm of Short-term Photovoltaic Data in Big Data Environment[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 87-92.

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