The application of machine learning methods to predict the power output of internal combustion engines

HIGHLIGHTS

• who: Ruomiao Yang and collaborators from the Power Machinery and Vehicular Engineering Institute, College of Energy Engineering, Zhejiang University have published the article: The Application of Machine Learning Methods to Predict the Power Output of Internal Combustion Engines, in the Journal: Energies 2022, 3242 of /2022/
• what: The aim of this paper was to compare three ML models` (ANN SVR RF) predictive performance in forecasting IMEP indicator with the input parameters spark timing (ST) speed and load. Considering that some practitioners in the energy field also lacked some knowledge about algorithm selection, the purpose of . . .
  

   

  

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