Conference Agenda

Assessing the impact of net-load forecast quality improvement on balancing mechanism

Arman Akgönül, Jean Thorey, Jonathan Dumas

RTE, France

Sensor Fault Impact on Federated Learning for Electricity Demand Forecasting

Jaewon Jeoung, Eunseong Song, Juwon Hong, Hyuna Kang, Jongbaek An, Taehoon Hong

Department of Architecture and Architectural Engineering, Yonsei University, Seoul, Republic of Korea

Impacts of wind power forecast error in the Finnish electricity market in 2030

Simeon Seppälä, Sanna Syri

Aalto University, Finland

Evaluating the Skill of Seasonal Wind Energy Forecasts in Germany

Abhinav Tyagi^1,2, Lukas Pauscher^2,4, Jan Wandel³, Alina Happ¹, Axel Braun¹, Andreas Paxian³, Muhammad Arsalan¹, Martin Braun¹, Malte Siefert¹

¹Fraunhofer IEE, Kassel, Germany; ²Univesity of Kassel, Department of Sustainable Electrical Energy Systems, Kassel, Germany; ³Deutscher Wetterdienst, Offenbach, Germany; ⁴Vrije Universiteit Brussel, Acoustics & Vibration Research Group, Elsene, Belgium,

Towards Probabilistic Forecasting of Renewable Energy Sources using a Hierarchical Framework

Michael Vitali, Georgios Mitrentsis, Lena Peter

Hitachi Energy Research

Improving Long-Term Electricity Price Predictions: A Comparison of Pure GPR and Hybrid LP-GPR Models

Giulia Taromboli¹, Guillaume Koechlin², Filippo Bovera¹, Piercesare Secchi²

¹Energy Department, Politecnico di Milano, Italy; ²Department of Mathematics, MOX, Politecnico di Milano, Milan, Italy

Spot Market Electricity Price Forecast via the Combination of Transformer and Ornstein-Uhlenbeck Process

Zhouhe Zhang¹, Haochen Hua¹, Xingying Chen¹, Jia Shao², Jin Zheng³, Bo Wang¹, Lei Gan¹, Kun Yu¹

¹School of Electrical and Power Engineering, Hohai University, Nanjing, 211100, China.; ²School of Mathematics, University of Birmingham, Edgbaston Birmingham, B15 2TT, UK; ³School of Engineering Mathematics and Technology, University of Bristol, Bristol, BS8 1TW, UK