지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
In this paper, we investigated a feasibility of applying highest and lowest temperatures of the next day forecasted from a meteorological observatory to operation of an air-conditioning system with thermal storage. First we investigated specific characteristics of the time series of forecasted temperatures and errors in Osaka from 1994 to 1996. Since the forecast error is not always small, it might be difficult to use the forecasted data without correction for the sizing and the control of the thermal storage system. On the other hand, the autocorrelation functions of the forecast errors decrease relatively slowly during high summer season when cooling thermal storage is required. Since the values of the autocorrelation functions for one day are larger than 0.4, not small, the forecast errors can be predicted by proper statistical analysis. Thus, the forecasted values of the highest temperatures for the next day were improved by using the stochastic time series models.
목차
ABSTRACT
1. 서론
2. 최고ㆍ최저기온 데이터의 특징
3. 확률시계열모델에 의한 예보오차의 예측
4. 기상대 발표시각별 예보오차시계열
5. 결론
후기
참고문헌
참고문헌 (7)
참고문헌 신청
, 1988 , An analysis of stochastic properties of the heating load in an intermittently air-conditioned building 11 : 259 ~ 266
, 1992 , Modeling of weather data by time series analysis for air-conditioning load calculations 98 (1) : 328 ~ 345
, 1991 , Statistical time series models of solar radiation and outdoor temperature－Identification of seasonal models by Kalman filter 15 (16) : 373 ~ 383
, 1997 , Heating and cooling load prediction for the rational management of thermal storage tank operation (495) : 77 ~ 83
, 2002 , Building energy control algorithms by using outdoor air temperature prediction : 345 ~ 350
, 1992 , Modeling of weather data by time series analysis for air-conditioning load calculations 98 (1) : 328 ~ 345
, 1991 , Statistical time series models of solar radiation and outdoor temperature－Identification of seasonal models by Kalman filter 15 (16) : 373 ~ 383
, 1997 , Heating and cooling load prediction for the rational management of thermal storage tank operation (495) : 77 ~ 83
, 2002 , Building energy control algorithms by using outdoor air temperature prediction : 345 ~ 350
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UCI(KEPA) : I410-ECN-0101-2009-553-015327258