Adrian Albert

引用先

	すべて	2020 年以来
引用	3358	2359
h 指標	19	16
i10 指標	27	19

540

270

135

405

201320142015201620172018201920202021202220232024202530 102 121 150 153 180 242 314 429 488 533 538 55

オープンアクセス

すべて表示

7 件の論文

0 件の論文

利用可能

利用不可

助成機関の要件に基づく

共著者

Karthik KashinathPrincipal Scientist & Engineer, NVIDIA確認したメールアドレス: nvidia.com
Ram RajagopalAssociate Professor, Stanford University確認したメールアドレス: stanford.edu
Rose YuAssociate Professor, University of California, San Diego確認したメールアドレス: ucsd.edu
Marta C. GonzalezUC Berkeley and Lawrence Berkeley National Laboratory確認したメールアドレス: berkeley.edu
Jasleen KaurSchool of Informatics & Computing, Indiana University Bloomington確認したメールアドレス: umail.iu.edu
Gireesh ShrimaliPrecourt Scholar, Stanford University確認したメールアドレス: stanford.edu
Sangram GangulyChief Technology Officer at Rhombus Power確認したメールアドレス: rhombuspower.com
Jinlong WuUniversity of Wisconsin-Madison確認したメールアドレス: wisc.edu
Amin ElshorbagyUniversity of Saskatchewan確認したメールアドレス: usask.ca
Chaopeng ShenProfessor in Water Resources Engineering, Pennsylvania State University確認したメールアドレス: engr.psu.edu
Emanuele StranoMindEarth確認したメールアドレス: mindearth.org
Mehdi MaasoumyPhD, University of California, Berkeley確認したメールアドレス: berkeley.edu
Raffi SevlianSLAC National Laboratory確認したメールアドレス: stanford.edu
Jia Shuo YueSoftware Engineer, Google確認したメールアドレス: alumni.stanford.edu
Jure LeskovecProfessor of Computer Science, Stanford University確認したメールアドレス: cs.stanford.edu
Jungsuk KwacStanford University確認したメールアドレス: alumni.stanford.edu
Andreas SchaferProfessor of Energy and Transport, University College London確認したメールアドレス: ucl.ac.uk
Karl-Heinz GlassmeierIGeP, Technische Universität Braunschweig確認したメールアドレス: tu-bs.de
Huan LiuRegents Professor, Arizona State University確認したメールアドレス: asu.edu

フォロー

Adrian Albert

terrafuse.ai, Massachusetts Institute of Technology, Lawrence Berkeley National Lab

確認したメールアドレス: mit.edu - ホームページ

Machine learning computer vision generative models remote sensing climate modeling


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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	838	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	506	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	421	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	346	2013
Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale A Albert, J Kaur, M Gonzalez	252	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	236	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	170	2020
Thermal profiling of residential energy use A Albert, R Rajagopal IEEE Transactions on power systems 30 (2), 602-611, 2014	75	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	49	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	48	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	45	2012
Predictive segmentation of energy consumers A Albert, M Maasoumy Applied energy 177, 435-448, 2016	39	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	38	2009
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	32	2020
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	28	2013
Cost-of-service segmentation of energy consumers A Albert, R Rajagopal IEEE Transactions on Power Systems 29 (6), 2795-2803, 2014	26*	2014
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	22	2013
Emulating numeric hydroclimate models with physics-informed cGANs A Manepalli, A Albert, A Rhoades, D Feldman, AD Jones AGU fall meeting, 2019	19	2019
Downscaling numerical weather models with GANs A Singh, B White, A Albert, K Kashinath 100th American Meteorological Society Annual Meeting, 2020	18	2020

現在システムで処理を実行できません。しばらくしてからもう一度お試しください。

論文 1–20

年間引用数

重複した引用

結合された引用

共著者を追加共著者

フォロー

引用先

共著者