energy planning

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• Published Subscription Original Research 25 Jul 2026

  Time Series Forecasting of Electricity Consumption: A Comparative Analysis of ARIMA and SARIMA Models

  By Pavitr Jain, Vikas Sharma, Vivek Verma, Avnish Soni, Arpit Kumar, Ritish Sharma

  Abstract: Accurate electricity demand forecasting plays a vital role in energy planning, efficient power system operation, and sustainable resource management. This study conducts a comparative evaluation of the Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA) models using ten years of monthly electricity consumption data collected from a national electricity regulatory authority. The performance of both models is assessed using forecasting accuracy metrics, including Mean Absolute Error …

  Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 43–53 Read article →