Joint and conditional dependence modelling of peak district heating demand and outdoor temperature: a copula-based approach
Di Lascio FML
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SubjectCopula function; Conditional probability; District heating system; Outdoor temperature; Peak heat demand; SARIMA models
This paper examines the complex dependence between peak district heating demand and outdoor temperature. Our aim is to provide the probability law of heat demand given extreme weather conditions, and derive useful implications for the management and production of thermal energy. We propose a copula-based approach and consider the case of the city of Bozen-Bolzano. The analysed data concern daily maxima heat demand observed from January 2014 to November 2017 and the corresponding outdoor temperature. We model the univariate marginal behaviour of the time series of heat demand and temperature with autoregressive integrated moving average models. Next, we investigate the dependence between the residuals’ time series through several copula models. The selected copula exhibits heavy-tailed and symmetric dependence. When taking into account the conditional behaviour of heat demand given extreme climatic events, the latter strongly affects the former, and we find a high probability of thermal energy demand reaching its peak.
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Di Lascio FML; Menapace A; Righetti M (ECOSTA ECONOMETRICS AND STATISTICS, 2018)The complex dependence relationship between peak district heating demand and outdoor temperature is examined by using the copula function.The aim is to derive a copula-based conditional probability distribution of heat ...
Joint and conditional dependence modelling of district heating demand and weather conditions: a copula-based approach Di Lascio FML; Menapace A; Righetti M (LMU Munich, 2019)We analyze the dependence relationship between district heating demand and weather conditions, such as outdoor temperature and solar radiation, through copula function. Copula function makes it possible to represent complex ...
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