| Title |
Short-Term Load Forecasting of Transformer Using Artificial Neural Networks |
| Authors |
Byoung-Soo Kim ; kyung-Bin Song |
| Keywords |
load forecasting ; neural networks ; transformer |
| Abstract |
In this paper, the short-term load forecasting of transformers is performed by artificial neural networks. Input parameters of the proposed algorithm are peak loads of pole-transformer of previous days and their maximum and minimum temperatures. The proposed algorithm is tested for one of transformers in Seoul, Korea. Test results show that the proposed algorithm improves the accuracy of the load forecasting of transformer compared with the conventional algorithm. The proposed algorithm can help to prevent some damages by over-loads of transformers. |