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Modelling secondary waste composition using optimization and machine learning techniques: Case of the Czech Republic

Radovan Šomplák1, Jaroslav Pluskal1

  • 1Institute of Process Engineering, Faculty of Mechanical Engineering, Brno University of Technology - VUT Brno, Technická 2896/2, 616 69 Brno, Czech Republic.

Waste Management (New York, N.Y.)
|July 18, 2025
PubMed
Summary

Accurately assessing secondary waste composition is crucial for circular economy goals. This study uses machine learning and optimization to analyze waste streams, revealing significant plastic waste in landfills with energy recovery potential.

Keywords:
Data reconciliationMachine learningMaterial recoveryQuadratic optimizationSecondary waste compositionWaste management indicators

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