LSTM vs. Prophet: Achieving Superior Accuracy in Dynamic Electricity Demand Forecasting

Accurate electricity demand forecasting is critical for improving energy efficiency, maintaining grid stability, reducing operational costs, and promoting sustainability. This study presents a novel hybrid forecasting model that integrates Long Short-Term Memory (LSTM) networks and Prophet models, l...

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Bibliographic Details
Main Author: Saleh Albahli
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/18/2/278
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