| Review of methods to account for the solar spectral influence on photovoltaic device performance R Daxini, Y Wu Energy 286, 129461, 2024 | 16 | 2024 |
| Direct spectral distribution characterisation using the Average Photon Energy for improved photovoltaic performance modelling R Daxini, Y Sun, R Wilson, Y Wu Renewable Energy 201, 1176-1188, 2022 | 12 | 2022 |
| Blind photovoltaic modeling intercomparison: A multidimensional data analysis and lessons learned M Theristis, N Riedel‐Lyngskær, JS Stein, L Deville, L Micheli, A Driesse, ... Progress in Photovoltaics: Research and Applications 31 (11), 1144-1157, 2023 | 8 | 2023 |
| Modelling the spectral influence on photovoltaic device performance using the average photon energy and the depth of a water absorption band for improved forecasting R Daxini, R Wilson, Y Wu Energy 284, 129046, 2023 | 5 | 2023 |
| Empirical modelling of the solar spectral influence on photovoltaic devices for improved performance forecasting R Daxini University of Nottingham, 2024 | 1* | 2024 |
| Improvement of the Average Photon Energy Spectral Correction Function for Photovoltaic Performance Forecasting R Daxini, Y Wu, R Wilson 8th World Conference on Photovoltaic Energy Conversion, 740 - 743, 2022 | 1* | 2022 |
| Seasonal and intraday effects on spectral mismatch corrections for photovoltaic performance modelling in the United Kingdom R Daxini, R Wilson, Y Wu Energy Reports 13, 759-769, 2025 | | 2025 |
| International Photovoltaic Modeling Intercomparison [Slides] M Theristis, JS Stein, N Riedel-Lyngskær, LM Deville, D Barrie, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
Yupeng (Jack) WuProfessor in Building Physics, University of NottinghamVerified email at nottingham.ac.uk