
معرفی
Xin Wen is a Senior Researcher at the Renewable Energy Systems (RES) group at the University of Geneva, where she conducts advanced research on uncertainty modeling for long-range energy projections across Europe. She is actively involved in the Swiss National Science Foundation project 'Accuracy' and contributes to teaching in the Energy, Climate, and Environment course.
Research Interests: Dr. Wen's work centers on energy system modeling, uncertainty quantification, stochastic optimization, and renewable energy integration. She investigates how statistical and optimization models can improve the accuracy of energy projections, particularly at sub-national levels, and evaluates the performance of major energy agencies. Her research supports energy policy development by incorporating societal factors and historical transitions into modeling frameworks.
Publication Trends: Her recent publications (2021–2025) demonstrate a strong focus on improving energy modeling accuracy through hindcasting, probabilistic projections, and model inter-comparison. She frequently publishes in high-impact journals such as Applied Energy, Energy, and Nature Energy, addressing topics including electricity market governance, technology diffusion, and microgrid optimization under uncertainty.
Scientific Contributions:
- Key contributor to the Swiss National Science Foundation project 'Accuracy'
- Co-authored foundational datasets for evaluating European electricity transitions
- Developed methods for assessing model accuracy and incorporating societal factors in energy modeling
Teaching and Collaboration: Dr. Wen teaches in the Energy, Climate, and Environment program and collaborates extensively with researchers like Evelina TrutnevYTE and Marc Jaxa-Rozen. She is based at the University of Geneva's Renewable Energy Systems group, contributing to both research and policy-relevant analysis.
Laboratory Affiliation: She is a core member of the Renewable Energy Systems (RES) group at the University of Geneva, which focuses on data-driven modeling of sustainable energy transitions and policy evaluation in Switzerland and Europe.

