Adversarial super-resolution of climatological wind and solar data von Stengel, Karen, Glaws, Andrew, Hettinger, Dylan, King, Ryan N.

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Advanced multimaterial shape optimization methods as applied to advanced manufacturing of wind turbine generators von Sethuraman, Latha, Glaws, Andrew, Skinner, Miles, Parans Paranthaman, M.

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Machine learning enables national assessment of wind plant controls with implications for land use von Harrison‐Atlas, Dylan, King, Ryan N., Glaws, Andrew

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Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments von Glaws, Andrew, Constantine, Paul G., Cook, R. Dennis

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Separable shape tensors for aerodynamic design von Grey, Zachary J, Doronina, Olga A, Glaws, Andrew

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Deep learning for in situ data compression of large turbulent flow simulations von Glaws, Andrew, King, Ryan, Sprague, Michael

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Gaussian Quadrature and Polynomial Approximation for One-Dimensional Ridge Functions von Glaws, Andrew, Constantine, Paul G.

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Adversarial sampling of unknown and high-dimensional conditional distributions von Hassanaly, Malik, Glaws, Andrew, Stengel, Karen, King, Ryan N.

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Adversarial sampling of unknown and high-dimensional conditional distributions von Hassanaly, Malik, Glaws, Andrew, Stengel, Karen, King, Ryan N.

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Deep generative models in energy system applications: Review, challenges, and future directions von Zhang, Xiangyu, Glaws, Andrew, Cortiella, Alexandre, Emami, Patrick, King, Ryan N.

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Invertible Neural Networks for Airfoil Design von Glaws, Andrew, King, Ryan N., Vijayakumar, Ganesh, Ananthan, Shreyas

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Wind turbine blade design with airfoil shape control using invertible neural networks von Jasa, John, Glaws, Andrew, Bortolotti, Pietro, Vijayakumar, Ganesh, Barter, Garrett

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Machine learning enables national assessment of wind plant controls with implications for land use von Harrison‐Atlas, Dylan, King, Ryan N., Glaws, Andrew

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Unified architecture for data-driven metadata tagging of building automation systems von Mishra, Sakshi, Glaws, Andrew, Cutler, Dylan, Frank, Stephen, Azam, Muhammad, Mohammadi, Farzam, Venne, Jean-Simon

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High-resolution meteorology with climate change impacts from global climate model data using generative machine learning von Buster, Grant, Benton, Brandon N., Glaws, Andrew, King, Ryan N.

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G2Aero: A Python package for separable shape tensors von Doronina, Olga A., Grey, Zachary J., Glaws, Andrew

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Gauss–Christoffel quadrature for inverse regression: applications to computer experiments von Glaws, Andrew, Constantine, Paul G.

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Artificial intelligence-aided wind plant optimization for nationwide evaluation of land use and economic benefits of wake steering von Harrison-Atlas, Dylan, Glaws, Andrew, King, Ryan N., Lantz, Eric

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Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments von Glaws, Andrew, Constantine, Paul G., Cook, R. Dennis

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Predictive Analytics in Future Power Systems: A Panorama and State-Of-The-Art of Deep Learning Applications von Mishra, Sakshi, Glaws, Andrew, Palanisamy, Praveen

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