Mode Decomposition Bi-Directional Long Short-Term Memory (BiLSTM) Attention Mechanism and Transformer (AMT) Model for Ozone (O<sub>3</sub>) Prediction in Johannesburg, South Africa

Mode Decomposition Bi-Directional Long Short-Term Memory (BiLSTM) Attention Mechanism and Transformer (AMT) Model for Ozone (O<sub>3</sub>) Prediction in Johannesburg, South Africa

This paper presents a model that combines mode decomposition approaches with a bi-directional long short-term memory (BiLSTM) attention mechanism and a transformer (AMT) to predict the concentration level of ozone (O<sub>3</sub>) in Johannesburg, South Africa. Johannesburg is a densely p...

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Bibliographic Details
Main Authors: Israel Edem Agbehadji, Ibidun Christiana Obagbuwa
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Forecasting
Subjects:
empirical mode decomposition (EMD)
enhanced empirical mode decomposition (EEMD)
complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)
BiLSTM
attention mechanism and transformer
ozone prediction
Online Access:https://www.mdpi.com/2571-9394/7/2/15
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