| Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences A Bostrom, JL Demuth, CD Wirz, MG Cains, A Schumacher, ... Risk Analysis 44 (6), 1498-1513, 2024 | 14 | 2024 |
| Sunshade: enabling software-defined solar-powered systems A Singh, S Lee, D Irwin, P Shenoy Proceedings of the 8th International Conference on Cyber-Physical Systems, 61-70, 2017 | 11 | 2017 |
| Two tier communication architecture for smart meter A Singh, J Bapat, D Das 2013 Fifth international conference on communication systems and networks …, 2013 | 11 | 2013 |
| A moment in the sun: Solar nowcasting from multispectral satellite data using self-supervised learning AS Bansal, T Bansal, D Irwin Proceedings of the thirteenth ACM international conference on future energy …, 2022 | 9 | 2022 |
| Exploiting satellite data for solar performance modeling AS Bansal, D Irwin 2020 IEEE International Conference on Communications, Control, and Computing …, 2020 | 6 | 2020 |
| Distributed health monitoring system for control in smart grid network A Singh, J Bapat, D Das 2013 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 1-6, 2013 | 5 | 2013 |
| Self-Supervised Learning on Multispectral Satellite Data for Near-Term Solar Forecasting AS Bansal, T Bansal, D Irwin | 4 | 2021 |
| See the light: Modeling solar performance using multispectral satellite data A Singh Bansal, D Irwin Proceedings of the 7th ACM International Conference on Systems for Energy …, 2020 | 4 | 2020 |
| On the feasibility, cost, and carbon emissions of grid defection AS Bansal, D Irwin 2019 IEEE International Conference on Communications, Control, and Computing …, 2019 | 4 | 2019 |
| Tools for Extracting Spatio-Temporal Patterns in Meteorological Image Sequences: From Feature Engineering to Attention-Based Neural Networks AS Bansal, Y Lee, K Hilburn, I Ebert-Uphoff arXiv preprint arXiv:2210.12310, 2022 | 3 | 2022 |
| SunShade: software-defined solar systems A Singh, S Lee, D Irwin, P Shenoy e-Energy '16 Proceedings of the Seventh International Conference on Future …, 2016 | 2 | 2016 |
| Vulnerability analysis of power grid network against failures by state classification A Singh, J Bapat, D Das 2013 IEEE Electrical Power & Energy Conference, 1-6, 2013 | 2 | 2013 |
| Leveraging spatiotemporal information in meteorological image sequences: From feature engineering to neural networks AS Bansal, Y Lee, K Hilburn, I Ebert-Uphoff Environmental Data Science 2, e31, 2023 | 1 | 2023 |
| Retrieval of boundary layer precipitable water from GOES ABI using machine learning techniques Y Lee, K Hilburn, AS Bansal Journal of Applied Meteorology and Climatology 63 (12), 1463-1478, 2024 | | 2024 |
| Artificial Intelligence for Low-Level Moisture from GOES-R Series AS Bansal, KA Hilburn, I Ebert-Uphoff 103rd AMS Annual Meeting, 2023 | | 2023 |
| A Primer on Neural Network Architectures to Extract Information from Meteorological Image Sequences AS Bansal, Y Lee, KA Hilburn, I Ebert-Uphoff 103rd AMS Annual Meeting, 2023 | | 2023 |
| Using Artificial Intelligence to Analyze Satellite Earth Observations AS Bansal, D Rao 103rd AMS Annual Meeting, 2023 | | 2023 |
| Climate Science Insights from Artificial Intelligence AS Bansal, D Fan 103rd AMS Annual Meeting, 2023 | | 2023 |
| A Moment in the Sun: Solar Nowcasting from Multispectral Satellite Data using Self-Supervised Learning A Singh Bansal, T Bansal, D Irwin The Thirteenth ACM International Conference on Future Energy Systems (ACM e …, 2022 | | 2022 |
| Data-Driven Control, Modeling, and Forecasting for Residential Solar Power AS Bansal https://scholarworks.umass.edu/dissertations_2/2415/, 2022 | | 2022 |