| Automatic hourly solar forecasting using machine learning models GM Yagli, D Yang, D Srinivasan Renewable and Sustainable Energy Reviews 105, 487-498, 2019 | 219 | 2019 |
| Solar irradiance resource and forecasting: a comprehensive review DS Kumar, GM Yagli, M Kashyap, D Srinivasan IET Renewable Power Generation 14 (10), 1641-1656, 2020 | 102 | 2020 |
| Reconciling solar forecasts: Sequential reconciliation GM Yagli, D Yang, D Srinivasan Solar Energy 179, 391-397, 2019 | 49 | 2019 |
| Can we justify producing univariate machine-learning forecasts with satellite-derived solar irradiance? GM Yagli, D Yang, O Gandhi, D Srinivasan Applied Energy 259, 114122, 2020 | 47 | 2020 |
| Operational solar forecasting for grid integration: Standards, challenges, and outlook D Yang, W Li, GM Yagli, D Srinivasan Solar Energy 224, 930-937, 2021 | 44 | 2021 |
| Quality Control for Solar Irradiance Data D Yang, GM Yagli, H Quan 2018 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 208-213, 2018 | 28 | 2018 |
| Ensemble solar forecasting using data-driven models with probabilistic post-processing through GAMLSS GM Yagli, D Yang, D Srinivasan Solar Energy 208, 612-622, 2020 | 27 | 2020 |
| Reconciling solar forecasts: Probabilistic forecasting with homoscedastic Gaussian errors on a geographical hierarchy GM Yagli, D Yang, D Srinivasan Solar Energy 210, 59-67, 2020 | 25 | 2020 |
| Ensemble solar forecasting and post-processing using dropout neural network and information from neighboring satellite pixels GM Yagli, D Yang, D Srinivasan Renewable and Sustainable Energy Reviews 155, 111909, 2022 | 17 | 2022 |
| Sub-minute probabilistic solar forecasting for real-time stochastic simulations D Yang, GM Yagli, D Srinivasan Renewable and Sustainable Energy Reviews 153, 111736, 2022 | 14 | 2022 |
| On predictability of solar irradiance X Yang, D Yang, JM Bright, GM Yagli, P Wang Journal of Renewable and Sustainable Energy 13 (5), 056501, 2021 | 13 | 2021 |
| Novel forecast-based dispatch strategy optimization for PV hybrid systems in real time CD Rodríguez-Gallegos, L Vinayagam, O Gandhi, GM Yagli, ... Energy 222, 119918, 2021 | 11 | 2021 |
| Solar Forecast Reconciliation and Effects of Improved Base Forecasts GM Yagli, D Yang, D Srinivasan 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC)(A …, 2018 | 7 | 2018 |
| Predictability and forecast skill of solar irradiance over the contiguous United States B Liu, D Yang, MJ Mayer, CFM Coimbra, J Kleissl, M Kay, W Wang, ... Renewable and Sustainable Energy Reviews 182, 113359, 2023 | 6 | 2023 |
| The value of solar forecasts and the cost of their errors: A review O Gandhi, W Zhang, DS Kumar, CD Rodríguez-Gallegos, GM Yagli, ... Renewable and Sustainable Energy Reviews 189, 113915, 2024 | 4 | 2024 |
| Ensemble kriging for environmental spatial processes GM Yagli, JWE Tay, D Yang 2019 IEEE International Conference on Big Data (Big Data), 3947-3950, 2019 | 4 | 2019 |
| Using Combinational Methods for Forecast Improvement in PV Power Plants GM Yagli, D Yang, D Srinivasan 2018 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 540-545, 2018 | 4 | 2018 |
| Non-crossing Quantile Regression Neural Network as a Calibration Tool for Ensemble Weather Forecasts M Song, D Yang, S Lerch, X Xia, GM Yagli, JM Bright, Y Shen, B Liu, X Liu, ... Advances in Atmospheric Sciences, 1-21, 2024 | 2 | 2024 |
| Data-Driven Post-processing of Ensemble Forecasts for Improved Accuracy in Solar Forecasting GM Yagli PQDT-Global, 2020 | | 2020 |
