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...
Saved in:
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/18/2/278 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|