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Robust estimation and forecasting of the long-term seasonal component of electricity spot prices
Nowotarski, Jakub; Tomczyk, Jakub; Weron, Rafał - In: Energy economics 39 (2013), pp. 13-27
Persistent link: https://www.econbiz.de/10010235039
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A note on using the Hodrick-Prescott filter in electricity markets
Weron, Rafał; Zator, Michał - In: Energy economics 48 (2015), pp. 1-6
Persistent link: https://www.econbiz.de/10011533689
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On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks
Marcjasz, Grzegorz; Uniejewski, Bartosz; Weron, Rafał - In: International journal of forecasting 35 (2019) 4, pp. 1520-1532
Persistent link: https://www.econbiz.de/10012305383
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On the importance of the long-term seasonal component in day-ahead electricity price forecasting
Nowotarski, Jakub; Weron, Rafał - In: Energy economics 57 (2016), pp. 228-235
Persistent link: https://www.econbiz.de/10011698464
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Machine learning in energy forecasts with an application to high frequency electricity consumption data
Heilmann, Erik; Henze, Janosch; Wetzel, Heike - 2021
Forecasting plays an essential role in energy economics. With new challenges and use cases in the energy system …
Persistent link: https://www.econbiz.de/10012649104
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Adaptive trees : a new approach to economic forecasting
Woloszko, Nicolas - 2020
forecasting. Economic forecasting is made difficult by economic complexity, which implies non-linearities (multiple interactions … the algorithm in forecasting GDP growth 3- to 12-months ahead is assessed through simulations in pseudo-real-time for six …
Persistent link: https://www.econbiz.de/10012203223
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Forecasting economic activity using a neural network in uncertain times : Monte Carlo evidence and application to the German GDP
Holtemöller, Oliver; Kozyrev, Boris - Leibniz-Institut für Wirtschaftsforschung Halle - 2024
In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN …
Persistent link: https://www.econbiz.de/10014496850
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Forecasting daily electricity prices with monthly macroeconomic variables
Foroni, Claudia; Ravazzolo, Francesco; Rossini, Luca - 2019
forecasting daily electricity prices in two of the main European markets, Germany and Italy. We do that by means of mixed …-frequency models, introducing a Bayesian approach to reverse unrestricted MIDAS models (RU-MIDAS). We study the forecasting accuracy …
Persistent link: https://www.econbiz.de/10011987142
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Probabilistic electricity price forecasting with NARX networks : combine point or probabilistic forecasts?
Marcjasz, Grzegorz; Uniejewski, Bartosz; Weron, Rafał - In: International journal of forecasting 36 (2020) 2, pp. 466-479
Persistent link: https://www.econbiz.de/10012415156
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On the importance of the long-term seasonal component in day-ahead electricity price forecasting, part II, probabilistic forecasting
Uniejewski, Bartosz; Marcjasz, Grzegorz; Weron, Rafał - In: Energy economics 79 (2019), pp. 171-182
Persistent link: https://www.econbiz.de/10012172272