Comparison of accuracy between random forest method and k-nearest neighbors method for recognizing solar panel energy conversion temperature

HIGHLIGHTS

• What: - This study analyzes the classification of temperature image pattern recognition on solar panels to improve the accuracy of energy conversion performance affected by weather changes. This model shows good effectiveness in classification, although more attention is needed to improve the detection of class 3. The model shows strength in some classes, but there is room for improvement especially in less detected classes.
• Who: Mesran.M.Kom from the Master of Computer Science, Faculty of Engineering and Computer Science, Universitas Potensi Utama, MedanIndonesia have published the research work: Building of Informatics, Technology and Science (BITS . . .
  

   

  

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