Enabling immersive engagement in energy system models with deep learning

DOI10.1002/sam.11419OpenAlexW2952311793WikidataQ127701241 ScholiaQ127701241MaRDI QIDQ4970269

Brian W. Bush, Kristin Potter, Kenny Gruchalla, Venkat R. Krishnan, Nicholas Brunhart-Lupo, Bruce Bugbee

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11419

zbMATH Keywords

neural networkshigh-dimensional datarenewable energyTucker decompositioninteractive visualizationt-SNE

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Uses Software

• TensorFlow
• Keras
• t-SNE
• TensorLy

Cites Work

• Tensor Decompositions and Applications
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