Is disaggregation the holy grail of energy efficiency? The case of electricity KC Armel, A Gupta, G Shrimali, A Albert Energy policy 52, 213-234, 2013 | 812 | 2013 |
Physics-informed machine learning: case studies for weather and climate modelling K Kashinath, M Mustafa, A Albert, JL Wu, C Jiang, S Esmaeilzadeh, ... Philosophical Transactions of the Royal Society A 379 (2194), 20200093, 2021 | 376 | 2021 |
Towards physics-informed deep learning for turbulent flow prediction R Wang, K Kashinath, M Mustafa, A Albert, R Yu Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 363 | 2020 |
Smart meter driven segmentation: What your consumption says about you A Albert, R Rajagopal IEEE Transactions on power systems 28 (4), 4019-4030, 2013 | 336 | 2013 |
Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale A Albert, J Kaur, M Gonzalez | 241 | 2017 |
HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community C Shen, E Laloy, A Elshorbagy, A Albert, J Bales, FJ Chang, S Ganguly, ... Hydrology and Earth System Sciences 22 (11), 5639-5656, 2018 | 218 | 2018 |
Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems JL Wu, K Kashinath, A Albert, D Chirila, H Xiao Journal of Computational Physics 406, 109209, 2020 | 152 | 2020 |
Thermal profiling of residential energy use A Albert, R Rajagopal IEEE Transactions on power systems 30 (2), 602-611, 2014 | 72 | 2014 |
Method and system for profiling and scheduling of thermal residential energy use for demand-side management programs A Albert, R Rajagopal US Patent App. 14/716,763, 2015 | 44 | 2015 |
Modeling urbanization patterns with generative adversarial networks A Albert, E Strano, J Kaur, M González IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 43 | 2018 |
Steptacular: An incentive mechanism for promoting wellness N Gomes, D Merugu, G O'Brien, C Mandayam, JS Yue, B Atikoglu, ... 2012 Fourth International Conference on Communication Systems and Networks …, 2012 | 43 | 2012 |
Predictive segmentation of energy consumers A Albert, M Maasoumy Applied energy 177, 435-448, 2016 | 37 | 2016 |
Analysis of three-spacecraft data using planar reciprocal vectors: Methodological framework and spatial gradient estimation J Vogt, A Albert, O Marghitu Annales Geophysicae 27 (8), 3249-3273, 2009 | 33 | 2009 |
Finding the right consumers for thermal demand-response: an experimental evaluation A Albert, R Rajagopal IEEE Transactions on Smart Grid, 2016 | 30 | 2016 |
Building dynamic thermal profiles of energy consumption for individuals and neighborhoods A Albert, R Rajagopal 2013 IEEE International Conference on Big Data, 723-728, 2013 | 29 | 2013 |
Cost-of-service segmentation of energy consumers A Albert, R Rajagopal IEEE Transactions on Power Systems 29 (6), 2795-2803, 2014 | 26* | 2014 |
Interpretable forward and inverse design of particle spectral emissivity using common machine-learning models M Elzouka, C Yang, A Albert, RS Prasher, SD Lubner Cell Reports Physical Science 1 (12), 2020 | 23 | 2020 |
Drivers of variability in energy consumption A Albert, T Gebru, J Ku, J Kwac, J Leskovec, R Rajagopal ECML-PKDD DARE workshop on energy analytics, 2013 | 21 | 2013 |
Emulating numeric hydroclimate models with physics-informed cGANs A Manepalli, A Albert, A Rhoades, D Feldman, AD Jones AGU fall meeting, 2019 | 15 | 2019 |
Downscaling numerical weather models with GANs A Singh, B White, A Albert, K Kashinath 100th American Meteorological Society Annual Meeting, 2020 | 14 | 2020 |