Analysing drivers and interdependencies in European electricity markets using XAI
A new research paper explores the drivers of European electricity prices by combining deep neural networks with explainable AI (XAI) techniques. The study utilizes SHAP and SSHAP to analyze feature contributions across 39 European bidding zones. Findings indicate that solar energy plays a significant role in price formation, while natural gas prices remain a dominant factor. The research also highlights the substantial impact of interconnections on price dynamics, underscoring the interdependence of European electricity systems. AI
IMPACT Provides insights into energy market dynamics through advanced AI interpretation techniques.