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September 10, 2025SISTEMASIOpen Access

Implementation of Fuzzy Time Series Markov Chain Method to Predict Electricity Consumption in Aceh Province

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Application of fuzzy time series markov chain method predicts electricity consumption, suggesting robust forecasting capabilities.

Forecast accuracy is achieved with a mean absolute percentage error of 3.2483%, indicating high reliability.
The model predicts electricity consumption to reach 482,982,495 kWh by December 2030, representing significant growth.
Fuzzy time series markov chain combines fuzzy modeling with markov chain transitions, effectively handling uncertainty in data.
The stability of the FTSMC model suggests potential applicability in other sectors needing reliable forecasts.

Gavinda et al. (2025) studied this question.

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