101 citations · 303 across the 27 of their papers we have counts for
6 papers · 1 filter
Networked Spatial Effects in European Electricity Price Forecasting
Sultan Mahmud Chomon, Florian Ziel
As European bidding zones are highly interconnected by physical transmission lines, spatial influences propagate across neighboring nodes through a network. It is reflected in the…
Fast Training of Mixture-of-Experts for Time Series Forecasting via Expert Loss Integration
Btissame El Mahtout, Florian Ziel
We propose a novel adaptive Mixture-of-Experts (MoE) framework for time series forecasting that addresses the optimization problem arising from small gating weights by incorporatin…
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…
Electricity Price Forecasting: Bridging Linear Models, Neural Networks and Online Learning
Btissame El Mahtout, Florian Ziel
Precise day-ahead forecasts for electricity prices are crucial to ensure efficient portfolio management, support strategic decision-making for power plant operations, and enable ef…