October 15, 2025Gestão & ProduçãoOpen Access

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

View Full Paper

Ask AI

Bookmark

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.

Discussion

No takes yet. Share an insight, caveat, or question.

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

Reckman et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark