Wavelet-Enhanced Hybrid LSTM-XGBoost Model for Predicting Time Series Containing Unpredictable Events

Accurate electricity consumption forecasting is essential for effective power management, especially in the presence of unpredictable events that disrupt typical consumption patterns. Using the COVID-19 pandemic as a case study for such unpredictable events, this study proposes an improved hybrid LS...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Ali Ajder, Hisham A. A. Hamza, Ramazan Ayaz
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Discrete wavelet transform electricity consumption hybrid LSTM-XGBoost time series prediction unpredictable events wavelet-enhanced forecasting
Online Access:	https://ieeexplore.ieee.org/document/10946099/