| Solar PV output prediction from video streams using convolutional neural networks Y Sun, G Szűcs, AR Brandt Energy & Environmental Science 11 (7), 1811-1818, 2018 | 136 | 2018 |
| Short-term solar power forecast with deep learning: Exploring optimal input and output configuration Y Sun, V Venugopal, AR Brandt Solar Energy 188, 730-741, 2019 | 125 | 2019 |
| Energy return on investment (EROI) for forty global oilfields using a detailed engineering-based model of oil production AR Brandt, Y Sun, S Bharadwaj, D Livingston, E Tan, D Gordon PloS one 10 (12), e0144141, 2015 | 53 | 2015 |
| Convolutional neural network for short-term solar panel output prediction Y Sun, V Venugopal, AR Brandt 2018 IEEE 7th world conference on photovoltaic energy conversion (WCPEC)(A …, 2018 | 35 | 2018 |
| PV power output prediction from sky images using convolutional neural network: The comparison of sky-condition-specific sub-models and an end-to-end model Y Nie, Y Sun, Y Chen, R Orsini, A Brandt Journal of Renewable and Sustainable Energy 12 (4), 2020 | 34 | 2020 |
| Short-term solar PV forecasting using computer vision: The search for optimal CNN architectures for incorporating sky images and PV generation history V Venugopal, Y Sun, AR Brandt Journal of Renewable and Sustainable Energy 11 (6), 2019 | 33 | 2019 |
| SKIPP’D: A SKy Images and Photovoltaic Power Generation Dataset for short-term solar forecasting Y Nie, X Li, A Scott, Y Sun, V Venugopal, A Brandt Solar Energy 255, 171-179, 2023 | 22 | 2023 |
| Uncertainty in regional-average petroleum ghg intensities: countering information gaps with targeted data gathering AR Brandt, Y Sun, K Vafi Environmental Science & Technology 49 (1), 679-686, 2015 | 19 | 2015 |
| Short-term solar forecast using convolutional neural networks with sky images Y Sun Stanford University, 2019 | 11 | 2019 |
| Machine learning derived dynamic operating reserve requirements in high-renewable power systems Y Sun, JH Nelson, JC Stevens, AH Au, V Venugopal, C Gulian, S Kasina, ... Journal of Renewable and Sustainable Energy 14 (3), 2022 | 3 | 2022 |
| Life cycle exergy analysis on monoethanolamine-based carbon dioxide capture system Y Sun, SS Smith, AR Brandt Stanford University, 2015 | 1 | 2015 |
