| A three-species microbial consortium for power generation Y Liu, M Ding, W Ling, Y Yang, X Zhou, BZ Li, T Chen, Y Nie, M Wang, ... Energy & Environmental Science 10 (7), 1600-1609, 2017 | 107 | 2017 |
| Deep learning for prediction and fault detection in geothermal operations Y Liu, W Ling, R Young, T Cladouhos, J Zia, B Jafarpour Proceedings of the 46th Workshop on Geothermal Reservoir Engineering …, 2021 | 12 | 2021 |
| Deep Learning Models for Prediction and Optimization of Air-Cooled Binary Cycle Geothermal Operation W Ling, Y Liu, R Young, J Zia, M Swyer, TT Cladouhos, B Jafarpour Stanford Geothermal Workshop, 2022 | 5 | 2022 |
| Efficient data-driven models for prediction and optimization of geothermal power plant operations W Ling, Y Liu, R Young, TT Cladouhos, B Jafarpour Geothermics 119, 102924, 2024 | 2 | 2024 |
| Latent-space dynamics for prediction and fault detection in geothermal power plant operations Y Liu, W Ling, R Young, J Zia, TT Cladouhos, B Jafarpour Energies 15 (7), 2555, 2022 | 2 | 2022 |
| Optimization of Multi-Unit Geothermal Power Plants with Neural Network Models W Ling, Y Liu, R Young, J Zia, M Swyer, TT Cladouhos, B Jafarpour Geothermal Rising, 2022 | | 2022 |
| A Dynamic Deep Learning Model for Performance Prediction and Fault Detection in Geothermal Power Plants Y Liu, W Ling, R Young, TT Cladouhos, J Zia, B Jafarpour AGU Fall Meeting Abstracts 2020, H036-0009, 2020 | | 2020 |
| Deep Learning-Based Predictive Control for Geothermal Operations W Ling, Y Liu, R Young, J Zia, M Swyer, TT Cladouhos, B Jafarpour | | |
