특수일 전력수요예측을 위한 신경회로망 시스템의 개발

• 영문명: Development of neural network system for short-term load forecasting for a special day
• 발행기관: 강원대학교 산업기술연구소
• 저자명: 김광호(Kwang Ho Kim) 윤형선(Hvoung Sun Youn) 이철희(Chul Heui Lee)
• 간행물 정보: 『산업기술연구』vol.18, 1~6쪽, 전체 6쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 1998.09.30

영문 초록

Conventional short-term load forecasting techniques have limitation in their use on holidays due to dissimilar load behaviors of holidays and insufficiency of pattern data. Thus, a new short-term load forecasting method for special days in anomalous load conditions is proposed in this paper. The proposed method uses two Artificial Neural Networks(ANN); one is for the estimation of load curve, and the other is for the estimation of minimum and maximum value of load. The forecasting procedure is as follows. First, the normalized load curve is estimated by ANN. At next step, minimum and maximum values of load in a special day is obtained by combining these two outputs of ANNs. The proposed method shows a good performance, and it may be effectively applied to the practical situations.

목차

ABSTRACT

1. 서론

2. 특수일 전력 수요의 특징

3. 특수일의 전력 수요 패턴 예측

4. 특수일 최대, 최소부하 예측

5. 특수일 24시간 전력수요 예측

6. 테스트 결과

7. 결론

참고문헌

키워드

단기전력 수요예측 신경회로망 Short-term Load forecasting Atifitial Neural Network(ANN)