대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2005년도 제36회 하계학술대회 논문집 A
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- Pages.810-812
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- 2005
신경회로망을 이용한 배전용 변압기의 단기부하예측
Short-Term Load Forecasting of Pole-Transformer Using Artificial Neural Networks
- Kim, Byoung-Su (Soong-Sil University) ;
- Shin, Ho-Sung (Soong-Sil University) ;
- Song, Kyung-Bin (Soong-Sil University) ;
- Park, Jung-Do (Uiduk University)
- 발행 : 2005.07.18
초록
In this paper, the short-term load forecasting of pole-transformer is performed by artificial neural networks. Input parameters of the Nosed algorithm are peak loads of pole-transformer of previous days and their temperatures. The proposed algorithm is tested for ore of the pole-transformers in seoul, korea. Test results show that the proposed algorithm improves the accuracy of the load forecasting of pole-transformer compared with the conventional algorithm.
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