Hybrid Prophet-NAR Model for Short-Term Electricity Load Forecasting

Hybrid Prophet-NAR Model for Short-Term Electricity Load Forecasting

Electricity load forecasting is crucial for effective energy management, particularly in minimizing energy production and distribution costs. Traditional models like SARIMA and Singular Spectrum Analysis (SSA) have been widely used but often need to capture complex nonlinear patterns and deal with d...

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Bibliographic Details
Main Authors: Winita Sulandari, Yudho Yudhanto, Etik Zukhronah, Isnandar Slamet, Hilman Ferdinandus Pardede, Paulo Canas Rodrigues, Muhammad Hisyam Lee
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Electricity load forecasting
hybrid model
prophet model
neural network autoregressive (NAR)
singular spectrum analysis (SSA)
ensemble techniques
Online Access:https://ieeexplore.ieee.org/document/10829849/
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