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TRR 391
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Research
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Projects
C02
S. (2026). Analyzing uncertainty quantification in statistical and deep learning models for probabilistic electricity price forecasting. IEEE Access 14, 52162 – 52189 . DOI: 10.1109/ACCESS.2026.3672716 [...] Pappert, S., Joe, H. (2026). Copula-Based Time Series for Non-Gaussian and Non-Markovian Stationary Processes. arXiv . DOI: 10.48550/arXiv.2604.01500 . Uniejewski, B., Ziel, F. (2026). The role of probabilistic [...] electricity price forecasts. Renewable Energy 269, 125844. DOI: 10.1016/j.renene.2026.125844 . Ben Amor, S., Ziel, F. (2026). Recurrent neural networks with linear structures for electricity price forecasting …