| Economic viability of energy storage systems based on price arbitrage potential in real-time US electricity markets K Bradbury, L Pratson, D Patiño-Echeverri Applied Energy 114, 512-519, 2014 | 420 | 2014 |
| Automatic detection of solar photovoltaic arrays in high resolution aerial imagery JM Malof, K Bradbury, LM Collins, RG Newell Applied energy 183, 229-240, 2016 | 167 | 2016 |
| Energy storage technology review K Bradbury Duke University, 1-34, 2010 | 112 | 2010 |
| Distributed solar photovoltaic array location and extent dataset for remote sensing object identification K Bradbury, R Saboo, T L Johnson, JM Malof, A Devarajan, W Zhang, ... Scientific data 3 (1), 1-9, 2016 | 101 | 2016 |
| Large-scale semantic classification: outcome of the first year of inria aerial image labeling benchmark B Huang, K Lu, N Audeberr, A Khalel, Y Tarabalka, J Malof, A Boulch, ... IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 99 | 2018 |
| Automatic solar photovoltaic panel detection in satellite imagery JM Malof, R Hou, LM Collins, K Bradbury, R Newell 2015 International Conference on Renewable Energy Research and Applications …, 2015 | 94 | 2015 |
| A deep convolutional neural network, with pre-training, for solar photovoltaic array detection in aerial imagery JM Malof, LM Collins, K Bradbury 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 69 | 2017 |
| A deep convolutional neural network and a random forest classifier for solar photovoltaic array detection in aerial imagery JM Malof, LM Collins, K Bradbury, RG Newell 2016 IEEE International conference on renewable energy research and …, 2016 | 61 | 2016 |
| Estimating residential building energy consumption using overhead imagery A Streltsov, JM Malof, B Huang, K Bradbury Applied Energy 280, 116018, 2020 | 54 | 2020 |
| Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery J Camilo, R Wang, LM Collins, K Bradbury, JM Malof arXiv preprint arXiv:1801.04018, 2018 | 52 | 2018 |
| The Synthinel-1 dataset: A collection of high resolution synthetic overhead imagery for building segmentation F Kong, B Huang, K Bradbury, J Malof Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 46 | 2020 |
| Tiling and stitching segmentation output for remote sensing: Basic challenges and recommendations B Huang, D Reichman, LM Collins, K Bradbury, JM Malof arXiv preprint arXiv:1805.12219, 2018 | 39 | 2018 |
| What you get is not always what you see—pitfalls in solar array assessment using overhead imagery W Hu, K Bradbury, JM Malof, B Li, B Huang, A Streltsov, KS Fujita, B Hoen Applied Energy 327, 2022 | 34* | 2022 |
| Image features for pixel-wise detection of solar photovoltaic arrays in aerial imagery using a random forest classifier JM Malof, K Bradbury, LM Collins, RG Newell, A Serrano, H Wu, S Keene 2016 IEEE International Conference on Renewable Energy Research and …, 2016 | 32 | 2016 |
| The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection R Wang, J Camilo, LM Collins, K Bradbury, JM Malof 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-8, 2017 | 30 | 2017 |
| Segment anything, from space? S Ren, F Luzi, S Lahrichi, K Kassaw, LM Collins, K Bradbury, JM Malof Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 20 | 2024 |
| Automated extraction of energy systems information from remotely sensed data: A review and analysis S Ren, W Hu, K Bradbury, D Harrison-Atlas, LM Valeri, B Murray, ... Applied Energy 326, 119876, 2022 | 20 | 2022 |
| Non-intrusive load monitoring system performance over a range of low frequency sampling rates B Huang, M Knox, K Bradbury, LM Collins, RG Newell 2017 IEEE 6th International Conference on Renewable Energy Research and …, 2017 | 18 | 2017 |
| Estimating the electricity generation capacity of solar photovoltaic arrays using only color aerial imagery B So, C Nezin, V Kaimal, S Keene, L Collins, K Bradbury, JM Malof 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 15 | 2017 |
| Deep convolutional segmentation of remote sensing imagery: A simple and efficient alternative to stitching output labels B Huang, LM Collins, K Bradbury, JM Malof IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 13 | 2018 |
Jordan M MalofAssistant Professor, University of MontanaVerified email at duke.edu
