대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2000년도 하계학술대회 논문집 A
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- Pages.295-297
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- 2000
회귀모형과 신경회로망 모형을 이용한 단기 최대전력수요예측
Short-term Peak Load Forecasting using Regression Models and Neural Networks
- Koh, Hee-Seog (Kyungnam University) ;
- Ji, Bong-Ho (Kyungnam University) ;
- Lee, Hyun-Moo (KEPCO) ;
- Lee, Chung-Sik (Deawon Science College) ;
- Lee, Chul-Woo (Yeungjin Junior College)
- 발행 : 2000.07.17
초록
In case of power demand forecasting the most important problem is to deal with the load of special-days, Accordingly, this paper presents a method that forecasting special-days load with regression models and neural networks. Special-days load in summer season was forecasted by the multiple regression models using weekday change ratio Neural networks models uses pattern conversion ratio, and orthogonal polynomial models was directly forecasted using past special-days load data. forecasting result obtains % forecast error of about
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