| Diagnosing wind turbine faults using machine learning techniques applied to operational data K Leahy, RL Hu, IC Konstantakopoulos, CJ Spanos, AM Agogino Prognostics and Health Management (ICPHM), 2016 IEEE International …, 2016 | 137 | 2016 |
| Diagnosing and PredictingWind Turbine Faults from SCADA Data Using Support Vector Machines K Leahy, RL Hu, IC Konstantakopoulos, CJ Spanos, AM Agogino, ... International Journal of Prognostics and Health Management 9 (1), 2018 | 83 | 2018 |
| Design of machine learning models with domain experts for automated sensor selection for energy fault detection RL Hu, J Granderson, DM Auslander, A Agogino Applied Energy 235, 117-128, 2019 | 66 | 2019 |
| A Mathematical Programming Formulation for Optimal Load Shifting of Electricity Demand for the Smart Grid RL Hu, R Skorupski, R Entriken, Y Ye IEEE Transactions on Big Data, 2016 | 66* | 2016 |
| Energy information handbook: Applications for energy-efficient building operations J Granderson, MA Piette, B Rosenblum, L Hu, D Harris, P Mathew, P Price, ... Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA (US), 2011 | 56 | 2011 |
| Next Day Wildfire Spread: A Machine Learning Dataset to Predict Wildfire Spreading From Remote-Sensing Data F Huot, RL Hu, N Goyal, T Sankar, M Ihme, YF Chen IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 50 | 2022 |
| Image Segmentation to Distinguish Between Overlapping Human Chromosomes RL Hu, J Karnowski, R Fadely, JP Pommier Neural Information Processing Systems Workshop: ML4H, 2017 | 44 | 2017 |
| Using Domain Knowledge Features for Wind Turbine Diagnostics RL Hu, K Leahy, IC Konstantakopoulos, DM Auslander, CJ Spanos, ... IEEE International Conference of Machine Learning and Applications (ICMLA …, 2016 | 39 | 2016 |
| Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics J Burge, M Bonanni, M Ihme, L Hu arXiv preprint arXiv:2012.06679, 2020 | 22 | 2020 |
| Zero-Shot Image Classification Guided by Natural Language Descriptions of Classes: A Meta-Learning Approach RL Hu, C Xiong, R Socher Neural Information Processing Systems: Visually Grounded Interaction and …, 2018 | 19* | 2018 |
| Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data F Huot, RL Hu, M Ihme, Q Wang, J Burge, T Lu, J Hickey, YF Chen, ... NeurIPS Humanitarian Aid and Disaster Response, 2020 | 18 | 2020 |
| Recurrent convolutional deep neural networks for modeling time-resolved wildfire spread behavior J Burge, MR Bonanni, RL Hu, M Ihme Fire Technology, 1-28, 2023 | 7 | 2023 |
| Machine Learning to Scale Fault Detection in Smart Energy Generation and Building Systems RL Hu UC Berkeley, 2016 | 6 | 2016 |
| Can We Practically Bring Physics-based Modeling Into Operational Analytics Tools? J Granderson, M Bonvini, MA Piette, J Page, G Lin, RL Hu Proceedings of the 2016 ACEEE Summer Study on Energy Efficiency in Buildings, 2016 | 5 | 2016 |
| Accelerating physics simulations with tensor processing units: An inundation modeling example RL Hu, D Pierce, Y Shafi, A Boral, V Anisimov, S Nevo, Y Chen The International Journal of High Performance Computing Applications 36 (4 …, 2022 | 4 | 2022 |
| Distributed Data Processing for Large-Scale Simulations on Cloud TJ Lu, S Hoyer, Q Wang, L Hu, Y Chen 2021 JOINT IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY …, 2021 | 3 | 2021 |
| Detection of Chiller Energy Efficiency Faults Using Expectation Maximization RL Hu, J Granderson, A Agogino ASME 2015 International Design Engineering Technical Conferences and …, 2015 | 3 | 2015 |
| Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information A Agogino, HY Jang, V Rao, R Batra, F Liao, R Sood, I Fang, RL Hu, ... ASME International Mechanical Engineering Congress and Exposition 85697 …, 2021 | 1 | 2021 |
| Accelerating Physics Simulations with TPUs: An Inundation Modeling Example D Pierce, RL Hu, Y Shafi, A Boral, V Anisimov, S Nevo, Y Chen arXiv preprint arXiv:2204.10323, 2022 | | 2022 |
| Advanced Methods for Whole Building Energy Analysis J Granderson, MA Piette, B Rosenbloom, L Hu Automated Diagnostics and Analytics for Buildings, 227-240, 2021 | | 2021 |
