Predictive model for municipal waste generation using artificial neural networks—Case study City of Zagreb, Croatia-Reference-Cited by-同舟云学术

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Predictive model for municipal waste generation using artificial neural networks—Case study City of Zagreb, Croatia

Published:2019-07-10 Issue:11 Volume:43 Page:5701-5713
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Ribic Bojan¹,Pezo Lato²,Sincic Dinko³,Loncar Biljana⁴,Voca Neven⁵^ORCID

Affiliation:

1. Zagreb Holding Zagreb Croatia

2. Institute of General and Physical ChemistryUniversity of Belgrade Belgrade Serbia

3. Kem projekt d.o.o. Zagreb Croatia

4. Faculty of TechnologyUniversity of Novi Sad Novi Sad Serbia

5. Faculty of AgricultureUniversity of Zagreb Zagreb Croatia

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.4632

Reference33 articles.

1. Concept of sustainable waste management in the city of Zagreb: Towards the implementation of circular economy approach

2. Modeling and prediction of regional municipal solid waste generation and diversion in Canada using machine learning approaches

3. Municipal solid waste generation in municipalities: Quantifying impacts of household structure, commercial waste and domestic fuel

4. Evolution of Municipal Waste in the EU — Portugal, Croatia, and Netherlands

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