IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i7p4122-d783478.html
   My bibliography  Save this article

ANN Hybrid Model for Forecasting Landfill Waste Potential in Lithuania

Author

Listed:
  • Vidas Raudonis

    (Department of Automation, Kaunas University of Technology, Studentu 48, 51367 Kaunas, Lithuania)

  • Agne Paulauskaite-Taraseviciene

    (Department of Applied Informatics, Kaunas University of Technology, Studentu 50, 51368 Kaunas, Lithuania)

  • Linas Eidimtas

    (“Dts Solutions” UAB, Naujoji Str. 2, LT-60180 Raseiniai, Lithuania)

Abstract

Waste management is currently a fast-growing environmental business and one of solutions to manage the huge amount of waste being generated on landfills is to use the disposed waste as an energy source. There is a major focus on energy forecasting, highlighting the importance of having reliable data on the volume and composition of municipal solid waste in landfills. However, the lack of historical data is forcing the development of machine-learning based models. This study contributes to this field by proposing a hybrid ANN-based model to forecast the total amount of landfill waste, different waste fraction and the potential for energy recovery. The proposed model includes an adaptive number of inputs adjusted to the relevant waste fraction and to the specific landfill. The obtained results substantiated that the proposed model allows for stable and accurate forecasting of recovered energy potential in cases where there is insufficient historical data. The experiments showed that the model with 12 inputs (meaning the forecast of the future value takes into account the last 12 months of data) was the most accurate in the energy forecasting task, with the lowest forecasting error in terms of mean absolute error −8.9878 gigawatt hours per year.

Suggested Citation

  • Vidas Raudonis & Agne Paulauskaite-Taraseviciene & Linas Eidimtas, 2022. "ANN Hybrid Model for Forecasting Landfill Waste Potential in Lithuania," Sustainability, MDPI, vol. 14(7), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4122-:d:783478
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/7/4122/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/7/4122/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kanchan Popli & Chunkyoo Park & Sang-Min Han & Seungdo Kim, 2021. "Prediction of Solid Waste Generation Rates in Urban Region of Laos Using Socio-Demographic and Economic Parameters with a Multi Linear Regression Approach," Sustainability, MDPI, vol. 13(6), pages 1-15, March.
    2. Soolmaz L. Azarmi & Akeem Adeyemi Oladipo & Roozbeh Vaziri & Habib Alipour, 2018. "Comparative Modelling and Artificial Neural Network Inspired Prediction of Waste Generation Rates of Hospitality Industry: The Case of North Cyprus," Sustainability, MDPI, vol. 10(9), pages 1-18, August.
    3. Ane Pan & Linxiu Yu & Qing Yang, 2019. "Characteristics and Forecasting of Municipal Solid Waste Generation in China," Sustainability, MDPI, vol. 11(5), pages 1-11, March.
    4. Li Huang & Ting Cai & Ya Zhu & Yuliang Zhu & Wei Wang & Kehua Sun, 2020. "LSTM-Based Forecasting for Urban Construction Waste Generation," Sustainability, MDPI, vol. 12(20), pages 1-12, October.
    5. Amornchai Challcharoenwattana & Chanathip Pharino, 2018. "Analysis of Socioeconomic and Behavioral Factors Influencing Participation in Community-Based Recycling Program: A Case of Peri-Urban Town in Thailand," Sustainability, MDPI, vol. 10(12), pages 1-16, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alessandro Concari & Gerjo Kok & Pim Martens, 2020. "A Systematic Literature Review of Concepts and Factors Related to Pro-Environmental Consumer Behaviour in Relation to Waste Management Through an Interdisciplinary Approach," Sustainability, MDPI, vol. 12(11), pages 1-50, May.
    2. Bogusław Wowrzeczka, 2021. "City of Waste—Importance of Scale," Sustainability, MDPI, vol. 13(7), pages 1-14, April.
    3. Christos Vlachokostas, 2020. "Closing the Loop Between Energy Production and Waste Management: A Conceptual Approach Towards Sustainable Development," Sustainability, MDPI, vol. 12(15), pages 1-15, July.
    4. Ludovic Fontaine & Dominique Morau & Jean-Philippe Praene, 2022. "Analysis and Estimation of Short Term Residual Household Waste Production: Case Study Reunion Island," Sustainability, MDPI, vol. 15(1), pages 1-24, December.
    5. Bei Xiong & Ruimei Wang, 2020. "Effect of Environmental Regulation on Industrial Solid Waste Pollution in China: From the Perspective of Formal Environmental Regulation and Informal Environmental Regulation," IJERPH, MDPI, vol. 17(21), pages 1-17, October.
    6. Fu Chen & Xiaoxiao Li & Yongjun Yang & Huping Hou & Gang-Jun Liu & Shaoliang Zhang, 2019. "Storing E-waste in Green Infrastructure to Reduce Perceived Value Loss through Landfill Siting and Landscaping: A Case Study in Nanjing, China," Sustainability, MDPI, vol. 11(7), pages 1-15, March.
    7. Johanna Karina Solano Meza & David Orjuela Yepes & Javier Rodrigo-Ilarri & María-Elena Rodrigo-Clavero, 2023. "Comparative Analysis of the Implementation of Support Vector Machines and Long Short-Term Memory Artificial Neural Networks in Municipal Solid Waste Management Models in Megacities," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
    8. Monika Kulisz & Justyna Kujawska, 2020. "Prediction of Municipal Waste Generation in Poland Using Neural Network Modeling," Sustainability, MDPI, vol. 12(23), pages 1-16, December.
    9. Altaf Hussain Kanhar & Shaoqing Chen & Fei Wang, 2020. "Incineration Fly Ash and Its Treatment to Possible Utilization: A Review," Energies, MDPI, vol. 13(24), pages 1-35, December.
    10. Habib Alipour & Farzad Safaeimanesh & Arezoo Soosan, 2019. "Investigating Sustainable Practices in Hotel Industry-from Employees’ Perspective: Evidence from a Mediterranean Island," Sustainability, MDPI, vol. 11(23), pages 1-30, November.
    11. Nima Karimi, 2023. "Assessing Global Waste Management: Alternatives to Landfilling in Different Waste Streams—A Scoping Review," Sustainability, MDPI, vol. 15(18), pages 1-15, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4122-:d:783478. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.