- Volume 58 Issue 1
The traditional demand prediction was based on the technique wherein electric power corporations made monthly or seasonal estimation of electric power consumption for each area and subscription type for the next one or two years to consider both seasonally generated and local consumed amounts. Note, however, that techniques such as pricing, power generation plan, or sales strategy establishment were used by corporations without considering the production, comparison, and analysis techniques of the predicted consumption to enable efficient power consumption on the actual demand side. In this paper, to calculate the predicted value of electric power consumption on a short-term basis (15 minutes) according to the amount of electric power actually consumed for 15 minutes on the demand side, we performed comparison and analysis by applying a 15-minute interval prediction technique to the average and that to the time series analysis to show how they were made and what we obtained from the simulations.
- 수요측 전력사용량 예측을 위한 수요패턴 분석 연구, KIEE. Vol.57, No 8, AUG, 2008
- 한국전력공사 전력연구원, 'ESP용 고부가서비스 및 통합자원관리시스템 개발' 중간보고서, 2006. 8
- AMI를 이용한 Consumer Portal 개발, 대한전기학회 논문지, Vol.56, No.11, NOV, 2007
- 수요측 전력설비의 실시간 양방향 통신에 관한 연구, 대한전기학회 2008년도 하계학술대회, 정보통신, 2007.07
- 수요응답시스템 개발 및 운영방안 연구, 한국정보처리학회 추계학술대회 논문집 제13권 제2호, 2006. 11
- 수요정보 분석시스템의 개발에 관한 연구, 대한전기학회 2006년도 하계학술대회, 2006.07