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Stochastic Generation of District Heat Load
Modelling heat load is a crucial challenge for the proper management of heat production and distribution. Several studies have tackled this issue at building and urban levels, however, the current scale of interest is shifting to the district level due to the new paradigm of the smart system. This study presents a stochastic procedure to model district heat load with a different number of buildings aggregation. The proposed method is based on a superimposition approach by analysing the seasonaldoi:10.3390/en14175344 fatcat:vaymk2ch4nhxncjzsxnbc6waxe