Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions

نویسندگان

چکیده

Aggregated curves are common structures in economics and finance, the most prominent examples supply demand curves. In this study, we exploit fact that all aggregated have an intrinsic hierarchical structure, thus reconciliation methods can be used to improve forecast accuracy. We provide in-depth theory on how constructed or deconstructed, conclude these equivalent under weak assumptions. consider multiple for curves, including previously established bottom-up, top-down, linear optimal approaches. also present a new benchmark method called 'aggregated-down' with similar complexity bottom-up top-down approaches, but it tends better accuracy setup. conducted empirical forecasting study German day-ahead power auction market by predicting where their equilibrium determines electricity price next day. Our results demonstrate of

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ژورنال

عنوان ژورنال: International Journal of Forecasting

سال: 2022

ISSN: ['1872-8200', '0169-2070']

DOI: https://doi.org/10.1016/j.ijforecast.2022.11.004