One week hourly electricity load forecasting using Neuro-Fuzzy and Seasonal ARIMA models

This paper presents a comparative study of two forecast models for electric load data from Hanoi city, Vietnam. These two forecast models based on the methodology Adaptive Network Based Fuzzy Inference System (ANFIS) and Seasonal Auto Regressive Moving Average (SARIMA). The criteria of performance evaluation are computed to estimate and compare the SARIMA and ANFIS models. The results indicate in our case a preference for the SARIMA model.