DeepSolar: A Machine Learning Framework to Efficiently Construct a Solar Deployment Database in the United States J Yu*, Z Wang*, A Majumdar, R Rajagopal Joule 2 (12), 2605-2617, 2018 | 254 | 2018 |
Machine learning for AC optimal power flow N Guha, Z Wang, M Wytock, A Majumdar arXiv preprint arXiv:1910.08842, 2019 | 81 | 2019 |
Flow visualization of supersonic two-phase transcritical flow of CO2 in an ejector of a refrigeration system Y Zhu, Z Wang, Y Yang, PX Jiang International Journal of Refrigeration 74, 354-361, 2017 | 81 | 2017 |
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding Z Wang*, H Li*, R Rajagopal Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 1013-1020, 2020 | 54 | 2020 |
DeepSolar for Germany: A deep learning framework for PV system mapping from aerial imagery K Mayer, Z Wang, ML Arlt, D Neumann, R Rajagopal 2020 International Conference on Smart Energy Systems and Technologies (SEST …, 2020 | 33 | 2020 |
3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D K Mayer, B Rausch, ML Arlt, G Gust, Z Wang, D Neumann, R Rajagopal Applied Energy 310, 118469, 2022 | 31 | 2022 |
DeepWind: Weakly Supervised Localization of Wind Turbines in Satellite Imagery S Zhou, J Irvin, Z Wang, E Zhang, J Aljubran, W Deadrick, R Rajagopal, ... NeurIPS, Workshop on Tackling Climate Change with Machine Learning, 2019 | 19 | 2019 |
DeepSolar++: Understanding residential solar adoption trajectories with computer vision and technology diffusion models Z Wang, ML Arlt, C Zanocco, A Majumdar, R Rajagopal Joule 6 (11), 2611-2625, 2022 | 16 | 2022 |
Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond T Huang, Z Wang, H Sheng, AY Ng, R Rajagopal arXiv preprint arXiv:2105.02489, 2021 | 8 | 2021 |
Local and utility-wide cost allocations for a more equitable wildfire-resilient distribution grid Z Wang, M Wara, A Majumdar, R Rajagopal Nature Energy 8 (10), 1097-1108, 2023 | 5 | 2023 |
Fine-Grained Distribution Grid Mapping Using Street View Imagery Q Tang*, Z Wang*, A Majumdar, R Rajagopal NeurIPS, Workshop on Tackling Climate Change with Machine Learning, 2019 | 5 | 2019 |
Detecting Neighborhood Gentrification at Scale via Street-level Visual Data T Huang, T Dai, Z Wang, H Yoon, H Sheng, AY Ng, R Rajagopal, ... 2022 IEEE International Conference on Big Data (Big Data), 1632-1640, 2022 | 4 | 2022 |
M3G: Learning urban neighborhood representation from multi-modal multi-graph T Huang, Z Wang, H Sheng, AY Ng, R Rajagopal Proceedings of the DeepSpatial 2021: 2nd ACM KDD Workshop on Deep Learning …, 2021 | 4 | 2021 |
Identify Solar Panels in Low Resolution Satellite Imagery with Siamese Architecture and Cross-Correlation Z Wang*, Z Wang*, A Majumdar, R Rajagopal NeurIPS, Workshop on Tackling Climate Change with Machine Learning, 2019 | 4 | 2019 |
SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing Z Wang, R Prabha, T Huang, J Wu, R Rajagopal arXiv preprint arXiv:2312.12856, 2023 | 3 | 2023 |
Image Generation With Neural Cellular Automatas M Chen, Z Wang arXiv preprint arXiv:2010.04949, 2020 | 2 | 2020 |
Predicting Geographic Information with Neural Cellular Automata M Chen, Q Chen, L Gao, Y Chen, Z Wang arXiv preprint arXiv:2009.09347, 2020 | 1 | 2020 |
Geospatial mapping of distribution grid with machine learning and publicly-accessible multi-modal data Z Wang, A Majumdar, R Rajagopal Nature Communications 14 (1), 5006, 2023 | | 2023 |
Energy Atlas: Machine-learning-based Mapping and Analysis for Sustainable Energy and Urban Systems Z Wang Stanford University, 2022 | | 2022 |