Machine learning approaches for municipal solid waste generation forecasting

P Oguz-Ekim - Environmental Engineering Science, 2021 - liebertpub.com
Municipal solid waste (MSW) generation forecasting can be considered as the biggest
challenge of integrated solid waste management systems, particularly for developing …

Verifying the performance of artificial neural network and multiple linear regression in predicting the mean seasonal municipal solid waste generation rate: A case …

S Azadi, A Karimi-Jashni - Waste management, 2016 - Elsevier
Predicting the mass of solid waste generation plays an important role in integrated solid
waste management plans. In this study, the performance of two predictive models, Artificial …

Forecasting municipal solid waste generation by hybrid support vector machine and partial least square model

M Abbasi, MA Abduli, B Omidvar, A Baghvand - 2013 - sid.ir
Forecasting of municipal waste generation is a critical challenge for decision making and
planning, because proper planning and operation of a solid waste management system is …

Comparative performance analysis of support vector regression and artificial neural network for prediction of municipal solid waste generation

MS Jassim, G Coskuner… - Waste Management & …, 2022 - journals.sagepub.com
The evolution of machine learning (ML) algorithms provides researchers and engineers with
state-of-the-art tools to dynamically model complex relationships. The design and operation …

Development of machine learning-based models to forecast solid waste generation in residential areas: A case study from Vietnam

XC Nguyen, TTH Nguyen, DD La, G Kumar… - Resources …, 2021 - Elsevier
The main aim of this work was to compare six machine learning (ML)-based models to
predict the municipal solid waste (MSW) generation from selected residential areas of …

Prediction of the production of separated municipal solid waste by artificial neural networks in Croatia and the European Union

E Puntarić, L Pezo, Ž Zgorelec, J Gunjača… - Sustainability, 2022 - mdpi.com
Given that global amounts of waste are growing rapidly, it is extremely important to
determine what amount of waste will be generated in the near future. Accurate waste …

Forecasting municipal solid waste generation using artificial intelligence modelling approaches

M Abbasi, A El Hanandeh - Waste management, 2016 - Elsevier
Municipal solid waste (MSW) management is a major concern to local governments to
protect human health, the environment and to preserve natural resources. The design and …

Development of an appropriate model for forecasting municipal solid waste generation in Bangkok

N Sun, S Chungpaibulpatana - Energy Procedia, 2017 - Elsevier
Municipal solid waste (MSW) is a result of human activities. Accurate forecasting of MSW
generation is crucial for sustainable management systems and planning. MSW is …

New insights into regional differences of the predictions of municipal solid waste generation rates using artificial neural networks

F Wu, D Niu, S Dai, B Wu - Waste Management, 2020 - Elsevier
As one of the most popular non-linear models, artificial neural network (ANN) has been
successfully applied in the prediction of municipal solid waste (MSW). Despite its high …

Forecasting municipal solid waste quantity using artificial neural network and supported vector machine techniques: A case study of Johannesburg, South Africa

OO Ayeleru, LI Fajimi, BO Oboirien… - Journal of Cleaner …, 2021 - Elsevier
Detailed prediction of the amounts of municipal solid waste (MSW) is very crucial for
planning and management of MSW in a sustainable manner. Forecasting of MSW quantity is …