| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 716138 | IFAC Proceedings Volumes | 2012 | 6 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
