Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR-ARCH type processes. - Florian Ziel (Comput. Stat. Data Anal., 2016)

Changes in electricity demand pattern in Europe due to COVID-19 shutdowns. - Michal Narajewski; Florian Ziel (CoRR, 2020)

Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectories. - Michal Narajewski; Florian Ziel (CoRR, 2020)

The energy distance for ensemble and scenario reduction. - Florian Ziel (CoRR, 2020)

CRPS Learning. - Jonathan Berrisch; Florian Ziel (CoRR, 2021)

Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting. - Florian Ziel (CoRR, 2021)

M5 Competition Uncertainty: Overdispersion, distributional forecasting, GAMLSS and beyond. - Florian Ziel (CoRR, 2021)

tsrobprep - an R package for robust preprocessing of time series data. - Michal Narajewski; Jens Kley-Holsteg; Florian Ziel (SoftwareX, 2021)

High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks. - Jonathan Berrisch; Michal Narajewski; Florian Ziel (CoRR, 2022)

Modeling Volatility and Dependence of European Carbon and Energy Prices. - Jonathan Berrisch; Sven Pappert; Florian Ziel; Antonia Arsova (CoRR, 2022)

Integrated day-ahead and intraday self-schedule bidding for energy storage systems using approximate dynamic programming. - Benedikt Finnah; Jochen Gönsch; Florian Ziel (Eur. J. Oper. Res., 2022)

Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices. - Jonathan Berrisch; Florian Ziel (CoRR, 2023)

Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions. - Paul Ghelasi; Florian Ziel (CoRR, 2023)

Efficient mid-term forecasting of hourly electricity load using generalized additive models. - Monika Zimmermann; Florian Ziel (CoRR, 2024)

Assessing the impact of weather-induced uncertainties in large-scale electricity systems. - Jan Peper; David Kröger; Jonathan Kipp; Florian Ziel; Christian Rehtanz (CoRR, 2024)

ROLCH: Regularized Online Learning for Conditional Heteroskedasticity. - Simon Hirsch; Jonathan Berrisch; Florian Ziel (CoRR, 2024)

Spatial Weather, Socio-Economic and Political Risks in Probabilistic Load Forecasting. - Monika Zimmermann; Florian Ziel (CoRR, 2024)