Adrian Albert
Adrian Albert
terrafuse.ai, Massachusetts Institute of Technology, Lawrence Berkeley National Lab
Verified email at mit.edu - Homepage
TitleCited byYear
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
4592013
Smart meter driven segmentation: What your consumption says about you
A Albert, R Rajagopal
IEEE Transactions on power systems 28 (4), 4019-4030, 2013
1692013
Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale
A Albert, J Kaur, M Gonzalez
772017
Thermal profiling of residential energy use
A Albert, R Rajagopal
IEEE Transactions on power systems 30 (2), 602-611, 2014
352014
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
352012
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 (Online) 22 (11), 2018
272018
Analysis of three-spacecraft data using planar reciprocal vectors: methodological framework and spatial gradient estimation
J Vogt, A Albert, O Marghitu
Annales geophysicae: atmospheres, hydrospheres and space sciences 27 (8), 3249, 2009
232009
Cost-of-service segmentation of energy consumers
A Albert, R Rajagopal
IEEE Transactions on Power Systems 29 (6), 2795-2803, 2014
19*2014
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
182013
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
182013
Predictive segmentation of energy consumers
A Albert, M Maasoumy
Applied energy 177, 435-448, 2016
152016
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
112015
Finding the right consumers for thermal demand-response: an experimental evaluation
A Albert, R Rajagopal
IEEE Transactions on Smart Grid, 2016
102016
Power demand distributions: Segmenting consumers using smart meter data
A Albert, R Rajagopal, R Sevlian
BuildSys/SenSys, Seattle, WA, 2011
102011
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
92018
Demand for freight transportation in the US: A high-level view
A Albert, A Schaefer
82013
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
72020
An analysis of subdomain orientation, conformational change and disorder in relation to crystal packing of aspartic proteinases
D Bailey, EP Carpenter, A Coker, S Coker, J Read, AT Jones, P Erskine, ...
Acta Crystallographica Section D: Biological Crystallography 68 (5), 541-552, 2012
62012
HESS Opinions: Deep learning as a promising avenue toward knowledge discovery in water sciences
C Shen, E Laloy, A Albert, FJ Chang, A Elshorbagy, S Ganguly, K Hsu, ...
Hydrology and Earth System Sciences Discussions 2018, 1-21, 2018
42018
Modeling urbanization patterns at a global scale with generative adversarial networks
AT Albert, E Strano, M Gonzalez
AGUFM 2017, H33M-08, 2017
22017
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