대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2001년도 합동 추계학술대회 논문집 정보 및 제어부문
- /
- Pages.61-64
- /
- 2001
신경회로망을 이용한 일일 냉방부하 예측에 관한 실험적 연구
Experimental Study on Cooling Load Forecast Using Neural Networks
- Shin, Kwan-Woo (Dept of Electrical Electronic & Information Eng., Kongju Univ.) ;
- Lee, Youn-Seop (Dept of Electrical Electronic & Information Eng., Kongju Univ.) ;
- Kim, Yong-Tae (Dept of Electrical Electronic & Information Eng., Kongju Univ.) ;
- Choi, Byoung-Youn (Korea Electric Power Research Institute)
- 발행 : 2001.11.24
초록
The electric power load during the peak time in summer is strongly affected by cooling load. which decreases the preparation ratio of electricity and brings about the failure in the supply of electricity in the electric power system. The ice-storage system and heat pump system etc are used to settle this problem. In this study, the method of estimating temperature and humidity to forecast the cooling load of ice-storage system is suggested. And also the method of forecasting the cooling load using neural network is suggested. For the simulation, the cooling load is calculated using actual temperature and humidity. The forecast of the temperature, humidity and cooling load are simulated. As a result of the simulation, the forecasted data approached to the actual data.
키워드