11 citations · 18 across the 6 of their papers we have counts for
22 papers
Energy-Arena: A Dynamic Benchmark for Operational Energy Forecasting
Max Kleinebrahm, Jonathan Berrisch, Philipp Eiser +11
Energy forecasting research faces a persistent comparability gap that makes it difficult to measure consistent progress over time. Reported accuracy gains are often not directly co…
Probabilistic Forecasting for Day-ahead Electricity Prices, Battery Trading Strategies and the Economic Evaluation of Predictive Accuracy
Simon Hirsch, Florian Ziel
Electricity price forecasting supports decision-making in energy markets and asset operation. Probabilistic forecasts are increasingly adopted to explicitly quantify uncertainty, t…
Recurrent Neural Networks with Linear Structures for Electricity Price Forecasting
Souhir Ben Amor, Florian Ziel
We present a novel recurrent neural network architecture specifically designed for day-ahead electricity price forecasting, aimed at improving short-term decision-making and operat…
A data-driven merit order: Learning a fundamental electricity price model
Paul Ghelasi, Florian Ziel
Electricity price forecasting approaches generally fall into two categories: data-driven models, which learn from historical patterns, or fundamental models, which simulate market…
tsrobprep - an R package for robust preprocessing of time series data
Michał Narajewski, Jens Kley-Holsteg, Florian Ziel
Data cleaning is a crucial part of every data analysis exercise. Yet, the currently available R packages do not provide fast and robust methods for cleaning and preparation of time…
On cointegration for modeling and forecasting wind power production
Florian Ziel, Antonia Arsova
This study evaluates the performance of cointegrated vector autoregressive (VAR) models for very short- and short-term wind power forecasting. Preliminary results for a German data…