Forecasting and Analysis of Domestic Solid Waste Generation in Districts of Istanbul with Support Vector Regression

Ozcelik S. T., Tek F. B.

5th International Conference on Computer Science and Engineering (UBMK), Diyarbakır, Turkey, 9 - 11 September 2020, pp.366-371 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ubmk50275.2020.9219368
  • City: Diyarbakır
  • Country: Turkey
  • Page Numbers: pp.366-371
  • Keywords: Data mining, IBA Istanbul metropolitan, SVR, Waste generation, MUNICIPAL, MODEL
  • Istanbul Technical University Affiliated: No

Abstract

Waste planning is essential for large and developing cities such as Istanbul. In this report, we perform data analysis on "Waste Amount Based on District. Year and Waste Type" dataset shared by Istanbul Metropolitan Municipality. After analyzing the waste of the districts, we used support vector regression (SVR) to forecast the waste amounts for the coming years. The analysis has shown an overall increasing trend in the waste generation, although it dropped in 2019. The SVR predicts that the most waste generating district will be Kucukcekmece in the coming years.