Comparative Performance Analysis of Deep Learning, Classical, and Hybrid Time Series Models in Ecological Footprint Forecasting

Comparative Performance Analysis of Deep Learning, Classical, and Hybrid Time Series Models in Ecological Footprint Forecasting

In a globalized world, factors such as increasing population, rising production rates, changing consumption habits, and continuous economic growth contribute significantly to climate change. Therefore, successfully forecasting the Ecological Footprint (EF) effectively indicates global sustainable de...

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Bibliographic Details
Main Author: Pınar Cihan
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
Ecological Footprint
ARIMA
Holt–Winters
LSTM
ARIMA-SVR
Wilcoxon Signed-Rank
Online Access:https://www.mdpi.com/2076-3417/14/4/1479

Internet

https://www.mdpi.com/2076-3417/14/4/1479

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