作者: Nianping Li , Kuan Wang , Jianlin Cheng
DOI: 10.1016/J.ENCONMAN.2015.06.073
关键词: Meteorology 、 Global warming 、 Global Forecast System 、 Cold storage 、 Weather data 、 Macro 、 Computer science 、 Cooling load
摘要: Accurate simulation and forecast of cooling load is vital in the design efficient a cold storage system. In order to be more accurate predictions reduce errors, most previous studies have focused on how improve methodology or correct annual meteorological parameters library face global warming. Although such approaches can accuracy forecast, they still major weaknesses, as their requirement large amount daily hourly historical records failure predict weather data for any given day accounting future change macro climate. To address these problems, following method (FDLS) proposed by authors this research. This simulates based published authorities. The FDLS validated comparing results with actual collected from building. Furthermore, advantages disadvantages are highlighted study.