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2020 – today
- 2024
[i15]Monika Zimmermann, Florian Ziel:
Efficient mid-term forecasting of hourly electricity load using generalized additive models. CoRR abs/2405.17070 (2024)- [i14]Jan Peper, David Kröger, Jonathan Kipp, Florian Ziel, Christian Rehtanz:
Assessing the impact of weather-induced uncertainties in large-scale electricity systems. CoRR abs/2405.19845 (2024) - [i13]Simon Hirsch
, Jonathan Berrisch, Florian Ziel:
ROLCH: Regularized Online Learning for Conditional Heteroskedasticity. CoRR abs/2407.08750 (2024) - [i12]Monika Zimmermann, Florian Ziel:
Spatial Weather, Socio-Economic and Political Risks in Probabilistic Load Forecasting. CoRR abs/2408.00507 (2024) - 2023
- [i11]Jonathan Berrisch, Florian Ziel:
Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices. CoRR abs/2303.10019 (2023) - [i10]Paul Ghelasi, Florian Ziel:
Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions. CoRR abs/2305.16255 (2023) - 2022
- [j3]Benedikt Finnah, Jochen Gönsch, Florian Ziel:
Integrated day-ahead and intraday self-schedule bidding for energy storage systems using approximate dynamic programming. Eur. J. Oper. Res. 301(2): 726-746 (2022) - [i9]Jonathan Berrisch, Michal Narajewski, Florian Ziel:
High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks. CoRR abs/2203.03342 (2022) - [i8]Jonathan Berrisch, Sven Pappert, Florian Ziel, Antonia Arsova:
Modeling Volatility and Dependence of European Carbon and Energy Prices. CoRR abs/2208.14311 (2022) - 2021
- [j2]Michal Narajewski, Jens Kley-Holsteg, Florian Ziel:
tsrobprep - an R package for robust preprocessing of time series data. SoftwareX 16: 100809 (2021) - [i7]Jonathan Berrisch, Florian Ziel:
CRPS Learning. CoRR abs/2102.00968 (2021) - [i6]Michal Narajewski, Jens Kley-Holsteg, Florian Ziel:
tsrobprep - an R package for robust preprocessing of time series data. CoRR abs/2104.12657 (2021) - [i5]Florian Ziel:
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting. CoRR abs/2107.06268 (2021) - [i4]Florian Ziel:
M5 Competition Uncertainty: Overdispersion, distributional forecasting, GAMLSS and beyond. CoRR abs/2107.06675 (2021) - 2020
- [i3]Michal Narajewski, Florian Ziel:
Changes in electricity demand pattern in Europe due to COVID-19 shutdowns. CoRR abs/2004.14864 (2020) - [i2]Michal Narajewski, Florian Ziel:
Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectories. CoRR abs/2005.01365 (2020) - [i1]Florian Ziel:
The energy distance for ensemble and scenario reduction. CoRR abs/2005.14670 (2020)
2010 – 2019
- 2016
- [j1]Florian Ziel:
Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR-ARCH type processes. Comput. Stat. Data Anal. 100: 773-793 (2016)
Coauthor Index
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