Feasibility study on a novel methodology for short-term real-time energy demand prediction using weather forecasting data
作者： Younghoon Kwak , Donghyun Seo , Cheolyong Jang , Jung-Ho Huh
DOI: 10.1016/J.ENBUILD.2012.10.041
关键词:
摘要: Abstract This study was designed to investigate a method for short-term, real-time energy demand prediction cope with changing loads the effective operation and management of buildings. Through case study, novel methodology use weather forecasting data suggested. To perform input output operations data, calculate solar radiation EnergyPlus, BCVTB (Building Control Virtual Test Bed) designed. The used predict daily demand, based on four kinds two calculations. Weather parameters that were in model equation sourced from KMA (Korea Meteorological Administration). After conducting days, it found all inputted have an effect results. These applied real buildings order examine their validity. information exchange between simulation carried out fairly through BCVTB.
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