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October 15, 2025Gestão & ProduçãoOpen Access

Forecasting natural gas consumption in a cement plant – a case study

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Authors

NRNicholas De Marco ReckmanIPIgor Tona Peres

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Overview

Case study forecasts natural gas consumption in a cement plant, suggesting multivariate models enhance accuracy.

Key Points

  • Multivariate models significantly improve forecasting accuracy compared to univariate models, showing better performance.
  • The best-performing multivariate models achieved a MAPE of 9.9% demonstrating effective demand predictions during validation.
  • Demand forecasting utilizes historical daily data and external time series to optimize natural gas consumption.
  • Assessing model accuracy using multiple metrics highlights the suitability of forecasting approaches in real-world applications.

Cite This Study

Reckman et al. (2025) studied this question.

synapsesocial.com/papers/68f01110f081da0584b56a54https://doi.org/10.1590/1806-9649-2025v32e3825
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