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A Comparative Study of ARIMA, RBFNN, and Hybrid RBFNNARIMA Models for Electricity Net Consumption Forecasting in Algeria: A standard study utilizing panel data

Author

Listed:
  • Hacen Kahoui

    (University of tlemcen, Algeria)

  • Sidi Mohammed Chekouri

    (University center of Maghnia, Algeria)

  • Abdelkader Sahed

    (University center of Maghnia, Algeria)

Abstract

This study aims to compare the performance of three different forecasting methods for electricity consumption such as ARIMA, RBFNN, and hybrid RBFNN-ARIMA in Algeria over the period from 1990 to 2030. The results show that the RBFNN model outperforms the other two models in terms of accuracy. The RBFNN model is able to capture the nonlinear relationships in the data and is more robust to noise than the other models. The findings of this study have important implications for energy planning and management in Algeria. The RBFNN model can be used to develop more accurate and reliable forecasts of electricity net consumption, which can help to improve the efficiency of energy planning and management.

Suggested Citation

  • Hacen Kahoui & Sidi Mohammed Chekouri & Abdelkader Sahed, "undated". "A Comparative Study of ARIMA, RBFNN, and Hybrid RBFNNARIMA Models for Electricity Net Consumption Forecasting in Algeria: A standard study utilizing panel data," Review of Socio - Economic Perspectives 202342, Reviewsep.
    • Handle: RePEc:aly:journl:202342
    DOI: https://doi.org/10.19275/RSEP185
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    More about this item

    Keywords

    Electricity Net consumption forecasting; ARIMA; RBFNN; hybrid RBFNN-ARIMA; Algeria;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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