XW
Wen, Xin
Affiliation entities
Research groups
| Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
|---|---|---|---|---|---|---|---|
| Renewable Energy Outlook II for Switzerland | 2025 | 57 | 21 | ||||
| Spatial strategies for siting variable renewable energy sources to ensure weather resilience in Switzerland | Renewable energy | 2025 | 63 | 160 | |||
| Policy-relevance of a model inter-comparison: Switzerland in the European energy transition | Applied energy | 2025 | 45 | 47 | |||
| High sensitivity to methodological choices when integrating social acceptance data in electricity system modeling | Applied energy | 2025 | 11 | 105 | |||
| Electricity market governance and the historical performance of electricity transitions in European countries: insights from retrospective modeling | Energy strategy reviews | 2025 | 43 | 43 | |||
| Multi-country evidence on societal factors to include in energy transition modelling | Nature energy | 2025 | 58 | 77 | |||
| Hindcasting to inform the development of bottom-up electricity system models: The cases of endogenous demand and technology learning | Applied energy | 2023 | 97 | 87 | |||
| Probabilistic projections of granular energy technology diffusion at subnational level | PNAS Nexus | 2023 | 240 | 146 | |||
| Accuracy assessment of energy projections for China by Energy Information Administration and International Energy Agency | Energy and climate change | 2023 | 248 | 244 | |||
| Comparison of statistical and optimization models for projecting future PV installations at a sub-national scale | Energy | 2023 | 168 | 79 | |||
| Historic data of the national electricity system transitions in Europe in 1990–2019 for retrospective evaluation of models | Data in brief | 2022 | 357 | 649 | |||
| Accuracy indicators for evaluating retrospective performance of energy system models | Applied energy | 2022 | 260 | 263 | |||
| Crystal ball to foresee energy technology progress? | Joule | 2022 | 656 | 131 | |||
| Modeling of photovoltaic power uncertainties for impact analysis on generation scheduling and cost of an urban micro grid | Mathematics and Computers in Simulation | 2021 | 332 | 4 |
