IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04183403.html
   My bibliography  Save this paper

Electricity Consumption Forecasting in Algeria using ARIMA and Long Short-Term Memory Neural Network

Author

Listed:
  • Sahed Abdelkader

    (Maghnia University Center)

  • Kahoui Hacene

    (maghnia University center, Algeria)

Abstract

Forecasting electricity consumption is necessary for electric grid operation and utility resource planning, as well as to improve energy security and grid resilience. Thus, this research aims to investigate the prediction performance of the ARIMA and LSTM neural network model using electricity consumption data during the period 1990 to 2020. The time series for electricity consumption is divided into 70% for training data and 30% for test data. The results showed that the LSTM model provided improved forecasting accuracy than the ARIMA model.

Suggested Citation

  • Sahed Abdelkader & Kahoui Hacene, 2023. "Electricity Consumption Forecasting in Algeria using ARIMA and Long Short-Term Memory Neural Network," Post-Print hal-04183403, HAL.
  • Handle: RePEc:hal:journl:hal-04183403
    Note: View the original document on HAL open archive server: https://cnrs.hal.science/hal-04183403
    as

    Download full text from publisher

    File URL: https://cnrs.hal.science/hal-04183403/document
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Electricity Consumption ARIMA LSTM Algeria. JEL Classification Codes: Q47; C53; C45; Electricity Consumption; ARIMA; LSTM; Algeria. JEL Classification Codes: Q47;
    All these keywords.

    JEL classification:

    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-04183403. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.