The family of Mixtures of Generalized Nonlinear Models seems to be appropriate to provide predictions of the maximum gas consumption for extremely cold temperatures as they simultaneously face the problem of occurring heterogeneity arising from effects like sector-specific features (e.g. industrial or private consumer groups) or weekday-specific dependencies. The objective is to outline the statistical methods to enable the fitting of these models as well as to present a class of suitable applications.
|Title of host publication||Proceedings of the 34th International Workshop of Statistical Modelling|
|Publication status||Published - Jul 2019|
|Event||34th International Workshop on Statistical Modelling - Guimaraes, Guimaraes, Portugal|
Duration: 7 Jul 2019 → 12 Jul 2019
|Workshop||34th International Workshop on Statistical Modelling|
|Abbreviated title||IWSM 2019|
|Period||7/07/19 → 12/07/19|