Exploring Machine Learning and Deep Learning Approaches for Multi-Step Forecasting in Municipal Solid Waste Generation

Exploring Machine Learning and Deep Learning Approaches for Multi-Step Forecasting in Municipal Solid Waste Generation

Municipal Solid Waste (MSW) management enact a significant role in protecting public health and the environment. The main objective of this paper is to explore the utility of using state-of-the-art machine learning and deep learning-based models for predicting future variations in MSW generation for...

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Bibliographic Details
Main Authors: Oshan Mudannayake, Disni Rathnayake, Jerome Dinal Herath, Dinuni K. Fernando, Mgnas Fernando
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Waste management
time series
machine learning
deep learning
Online Access:https://ieeexplore.ieee.org/document/9950270/

Internet

https://ieeexplore.ieee.org/document/9950270/

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