| Title |
Short-term Electric Load Forecasting in Winter and Summer Seasons using a NARX Neural Network |
| Authors |
정희명(Jeong, Hee-Myung) ; 박준호(Park, June Ho) |
| DOI |
https://doi.org/10.5370/KIEE.2017.66.7.1001 |
| Keywords |
NARX neural network ; Short-term electric load forecasting ; Temperature data |
| Abstract |
In this study the NARX was proposed as a novel approach to forecast electric load more accurately. The NARX model is a recurrent dynamic network. ISO-NewEngland dataset was employed to evaluate and validate the proposed approach. Obtained results were compared with NAR network and some other popular statistical methods. This study showed that the proposed approach can be applied to forecast electric load and NARX has high potential to be utilized in modeling dynamic systems effectively. |