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Time series analysis and forecasting techniques for municipal solid waste management

Navarro Esbrí, Joaquín, Diamantopoulos Evaggelos, Ginestar Damian

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/EF796372-6386-4C53-BD3F-A58D34B39308-
Αναγνωριστικόhttps://doi.org/10.1016/S0921-3449(02)00002-2-
Αναγνωριστικόhttp://www.sciencedirect.com/science/article/pii/S0921344902000022-
Γλώσσαen-
Μέγεθος14 pagesen
ΤίτλοςTime series analysis and forecasting techniques for municipal solid waste managementen
ΔημιουργόςNavarro Esbrí, Joaquínen
ΔημιουργόςDiamantopoulos Evaggelosen
ΔημιουργόςΔιαμαντοπουλος Ευαγγελοςel
ΔημιουργόςGinestar Damianen
ΕκδότηςElsevieren
ΠερίληψηSuccessful planning and operation of a solid waste management system depends on municipal solid waste (MSW) generation process knowledge and on accurate predictions of solid waste quantities produced. Conventional analysis and prediction models are based on demographic and socioeconomic factors. However, this kind of analysis is related to mean generation data. Dynamic MSW generation analysis can be done using time series data of solid waste generated quantities. In this paper some tools for time series analysis and forecasting are proposed to study MSW generation. A prediction technique based on non-linear dynamics is proposed, comparing its performance with a seasonal AutoRegressive and Moving Average (sARIMA) methodology, dealing with short and medium term forecasting. Finally, a practical implementation consisting of the study of MSW time series of three cities in Spain and Greece is presented. en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-18-
Ημερομηνία Δημοσίευσης2002-
Θεματική ΚατηγορίαWaste management industryen
Θεματική Κατηγορίαrefuse disposal industryen
Θεματική Κατηγορίαwaste management industryen
Βιβλιογραφική ΑναφοράJ. Navarro-Esbrı́, E. Diamadopoulos and D. Ginestar, "Time series analysis and forecasting techniques for municipal solid waste management," Resour. Conserv. Recycl., vol. 35, no. 3, pp. 201-214, June 2002. doi: 10.1016/S0921-3449(02)00002-2en

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