Modeling and predicting steam power plant condenser vacuum based on small-sized operation data

HIGHLIGHTS

• What: The importance of condenser vacuum in steam power plants has previously been highlighted, and this study explored a knowledge gap in predicting it using AR-GARCH models.
• Who: Pylarinos from the Mangkurat University, Indonesia have published the Article: Modeling and Predicting Steam Power Plant Condenser Vacuum based on Small-sized Operation Data, in the Journal: (JOURNAL)
• How: The validity of the results is examined by comparing the performance to that of two other time series prediction techniques namely the autoregressive neural_network (NNAR) and the Support Vector Regression (SVR) as implemented in R . . .
  

   

  

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