A Seasonal Autoregressive Integrated Moving Average with Exogenous Factors (SARIMAX) Forecasting Model-Based Time Series Approach

A Seasonal Autoregressive Integrated Moving Average with Exogenous Factors (SARIMAX) Forecasting Model-Based Time Series Approach

Time series modeling is an effective approach for studying and analyzing the future performance of the power sector based on historical data. This study proposes a forecasting framework that applies a seasonal autoregressive integrated moving average with exogenous factors (SARIMAX) model to forecas...

Full description

Bibliographic Details
Main Authors: Fahad Radhi Alharbi, Denes Csala
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Inventions
Subjects:
forecasting
time series approach
historical data
electricity peak load
electricity consumption
electricity generation
Online Access:https://www.mdpi.com/2411-5134/7/4/94

Internet

https://www.mdpi.com/2411-5134/7/4/94

Similar Items