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Selection of a Multicriteria Method for Selecting Independent Variables for Forecasting the Energy Potential of Municipal Waste—A Case Study in Poland

Energies (Basel), 2023-06, Vol.16 (12), p.4646 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en16124646

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Title:
Selection of a Multicriteria Method for Selecting Independent Variables for Forecasting the Energy Potential of Municipal Waste—A Case Study in Poland
Author: Nęcka, Krzysztof ; Szul, Tomasz
Subjects: Analysis ; Biogas ; Case studies ; Classification ; data selection ; Demographics ; Energy ; Energy consumption ; Energy management systems ; Feature selection ; Forecasting ; Forecasts and trends ; Heat treatment ; Independent variables ; Mean ; method of estimating the size of the unit mass index of municipal waste accumulation ; Methods ; Multiple criterion ; municipal waste energy potential ; Municipal wastes ; Municipalities ; Planning ; Population density ; Power plants ; Refuse and refuse disposal ; rough set theory ; Rural areas ; Set theory ; Trends ; Waste treatment
Is Part Of: Energies (Basel), 2023-06, Vol.16 (12), p.4646
Description: The study examined the usefulness of selected classification methods and independent variable selection (conditional attributes) for building a model based on rough set theory (RST). The aim of the study was to estimate the local indicator of municipal waste generation and the energy potential of the waste, which could be utilized in thermal waste treatment facilities. The research was conducted on a group of 2451 municipalities in Poland which differed from each other in terms of administrative type (urban, urban–rural, and rural municipalities). These municipalities were described using 4 qualitative variables and 27 quantitative variables available in statistical reports. Using five submethods of variable classification, sets of features characterizing them in terms of the amount of municipal waste produced were extracted from the collected data. Purposeful selection of conditional attributes for modeling the unitary municipal waste accumulation index allows for reducing the number of decision variables without compromising the quality of the model. During the analysis, the number of conditional attributes was reduced from 31 to 3 for urban municipalities, 5 for urban–rural municipalities, and 7 for rural municipalities. The analysis results showed that the developed models exhibited mean absolute error (MAE) values ranging from 30 kg·(per·year)−1 to 52 kg·(per·year)−1, while the mean absolute percentage error (MAPE) ranged from 9% to 21%. By utilizing municipal waste for energy purposes, an average of approximately 160 kWh·(per·year)−1 for rural municipalities and around 270 kWh·(per·year)−1 for urban municipalities can be obtained.
Publisher: Basel: MDPI AG
Language: English
Identifier: ISSN: 1996-1073
EISSN: 1996-1073
DOI: 10.3390/en16124646
Source: AUTh Library subscriptions: ProQuest Central
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Selection of a Multicriteria Method for Selecting Independent Variables for Forecasting the Energy Potential of Municipal Waste—A Case Study in Poland

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