Forecasting Energy Consumption Using Time Series Models: A Comparison of Naïve, ARIMA, and Auto-ARIMA Approaches

Accurate forecasting of energy consumption is critical for optimizing resource management and supporting sustainable development. This paper presents a comparative analysis of forecasting models for household energy consumption, evaluating the performance of simple naïve methods (Daily, Weekly, and...

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Autori principali:	Hussein Ali Ahmed, Muntadher Khamees
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Anhalt University of Applied Sciences 2025-08-01
Serie:	Proceedings of the International Conference on Applied Innovations in IT
Soggetti:	energy consumption forecasting arima naïve forecasting time series dataset
Accesso online:	https://icaiit.org/paper.php?paper=13th_ICAIIT_4/4_3
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