Forecasting the Energy Production in Egypt Using the Prophet of Facebook

This study investigates the temporal dynamics of monthly electricity production in Egypt using the Facebook Prophet model to generate forecasts and decompose underlying patterns. The analysis successfully identified a significant long-term trend characterized by substantial growth from 1980, peaking around 2008-2010, followed by a period of stabilization and a subsequent slight decline, which is projected to continue. Furthermore, a complex, multi-modal yearly seasonality was robustly captured, with distinct peaks and troughs suggesting strong influences from climatic variations and socio-economic activities. The Prophet model demonstrated a reasonable in-sample fit (Mean Absolute Error: 8.25) and provided short-term forecasts that effectively integrated these trend and seasonal components. These findings offer critical insights for energy policy formulation, infrastructure investment decisions, and operational planning within Egypt. Key recommendations include leveraging the identified trend and seasonality for strategic and operational management, alongside enhancing future forecasting efforts through the integration of relevant external regressors and continuous model validation. This research underscores the utility of advanced time series models for national energy management and informs future directions for predictive analytics in the sector.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.907000144
Primary Topic
ICT in Developing Communities
Type
article
Field-Weighted Citation Impact
0.00
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article

Forecasting the Energy Production in Egypt Using the Prophet of Facebook

Saïd Jaouadi, Osama Attia
International Journal of Research and Innovation in Social Science
ICT in Developing Communities
article

Forecasting the Energy Production in Egypt Using the Prophet of Facebook

Saïd Jaouadi, Osama Attia
article en

Abstract

This study investigates the temporal dynamics of monthly electricity production in Egypt using the Facebook Prophet model to generate forecasts and decompose underlying patterns. The analysis successfully identified a significant long-term trend characterized by substantial growth from 1980, peaking around 2008-2010, followed by a period of stabilization and a subsequent slight decline, which is projected to continue. Furthermore, a complex, multi-modal yearly seasonality was robustly captured, with distinct peaks and troughs suggesting strong influences from climatic variations and socio-economic activities. The Prophet model demonstrated a reasonable in-sample fit (Mean Absolute Error: 8.25) and provided short-term forecasts that effectively integrated these trend and seasonal components. These findings offer critical insights for energy policy formulation, infrastructure investment decisions, and operational planning within Egypt. Key recommendations include leveraging the identified trend and seasonality for strategic and operational management, alongside enhancing future forecasting efforts through the integration of relevant external regressors and continuous model validation. This research underscores the utility of advanced time series models for national energy management and informs future directions for predictive analytics in the sector.

International Journal of Research and Innovation in Social ScienceVol. IX(VII)
Openalex Percentile: Top 71%
ICT in Developing Communities
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