Conference Time: 10th May 2025, 04:51:47am WEST
JavaScript is Disabled
Your browser's JavaScript functionality is disabled. It has to be enabled to use this function of ConfTool. Here you can find information on how to enable JavaScript If you have any problems, please contact the organizers at eem25@isel.pt .
Conference AgendaOverview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
SSE E1
Time:
Thursday, 29/May/2025:
2:00pm - 3:30pm
Location: Room 1 Building C, 3rd Floor
Presentations
Cross-Border Information in Electricity Price Forecasting: Benefits of a Panel Data Approach
Clemens Tobias Schnabel
Department of Statistics, University of Oxford
Forecasting Electricity Prices with Decision-Focused Learning for Storage Optimization
Ruben Smets 1,2 , Jean-François Toubeau3 , Mihaly Dolanyi4 , Kenneth Bruninx5 , Erik Delarue2
1 Odin Energy, Belgium; 2 KU Leuven, Belgium; 3 UMons, Belgium; 4 Sight-E Analytics, Hungary; 5 TU Delft, the Netherlands
Forecasting Electricity Spot Market Merit-Order Curves with Functional Time Series Modeling
Guillaume Koechlin 1 , Filippo Bovera2 , Piercesare Secchi1
1 MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy; 2 Department of Energy, Politecnico di Milano, Milan, Italy
Harnessing AutoML for Electricity Price Forecasting in Germany: A Comparative Analysis of Models
Demetrios N. Papadopoulos , Ramiz Qussous, Anke Weidlich
University of Freiburg, Germany
Online Interval Forecast based Operating Reserve Quantification Considering Net-load Uncertainties
Shivani Garg , Arun Kumar Nayak, Rohit Bhakar, Harpal Tiwari
Malaviya National Institute of Technology, Jaipur, India
Short-term forecasting of carbon emissions from electricity generation: the Italian case
Pierdomenico Duttilo , Francesco Lisi
Department of statistical sciences - University of Padova, Italy
Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting
Timothée Hornek , Amir Sartipi, Igor Tchappi, Gilbert Fridgen
University of Luxembourg, Luxembourg