Florian Ziel

Orcid: 0000-0002-2974-2660

According to our database1, Florian Ziel authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Spatial Weather, Socio-Economic and Political Risks in Probabilistic Load Forecasting.
CoRR, 2024

ROLCH: Regularized Online Learning for Conditional Heteroskedasticity.
CoRR, 2024

Assessing the impact of weather-induced uncertainties in large-scale electricity systems.
CoRR, 2024

Efficient mid-term forecasting of hourly electricity load using generalized additive models.
CoRR, 2024

2023
Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions.
CoRR, 2023

Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices.
CoRR, 2023

2022
Integrated day-ahead and intraday self-schedule bidding for energy storage systems using approximate dynamic programming.
Eur. J. Oper. Res., 2022

Modeling Volatility and Dependence of European Carbon and Energy Prices.
CoRR, 2022

High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks.
CoRR, 2022

2021
tsrobprep - an R package for robust preprocessing of time series data.
SoftwareX, 2021

M5 Competition Uncertainty: Overdispersion, distributional forecasting, GAMLSS and beyond.
CoRR, 2021

Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting.
CoRR, 2021

CRPS Learning.
CoRR, 2021

2020
The energy distance for ensemble and scenario reduction.
CoRR, 2020

Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectories.
CoRR, 2020

Changes in electricity demand pattern in Europe due to COVID-19 shutdowns.
CoRR, 2020

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


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