.... No.1. 2018. P.51-56. DOI: 10.25729/esr.2018.01.0006 http://esrj.ru/index.php/esr/article/view/2018.01.0006 The paper examines the rational aggregation of models that are employed to address energy sector forecasting challenges specific to various forecasting time frames. Possible approaches are proposed. The paper concludes with estimates of the potential impact of the magnitude and nature of input data uncertainty on forecast and aggregation errors. нет
Теги: aggregation , energy sector , forecast error , forecasting time frame , monte carlo simulation , uncertainty.
