Search Results for author: Shangkun Wang

Found 3 papers, 0 papers with code

Asset Bundling for Wind Power Forecasting

no code implementations28 Sep 2023 Hanyu Zhang, Mathieu Tanneau, Chaofan Huang, V. Roshan Joseph, Shangkun Wang, Pascal Van Hentenryck

This approach effectively introduces an auxiliary learning task (predicting the bundle-level time series) to help the main learning tasks.

Auxiliary Learning Time Series

Risk-Aware Control and Optimization for High-Renewable Power Grids

no code implementations2 Apr 2022 Neil Barry, Minas Chatzos, Wenbo Chen, Dahye Han, Chaofan Huang, Roshan Joseph, Michael Klamkin, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck, Shangkun Wang, Hanyu Zhang, Haoruo Zhao

The transition of the electrical power grid from fossil fuels to renewable sources of energy raises fundamental challenges to the market-clearing algorithms that drive its operations.

Uncertainty Quantification Vocal Bursts Intensity Prediction

Quasi-Ballistic Thermal Conduction in 6H-SiC

no code implementations15 Feb 2021 Zhe Cheng, Weifang Lu, Jingjing Shi, Daiki Tanaka, Nakib H. Protik, Shangkun Wang, Motoaki Iwaya, Tetsuya Takeuchi, Satoshi Kamiyama, Isamu Akasaki, Hiroshi Amano, Samuel Graham

Furthermore, orders of magnitude reduction in the measured thermal conductivity was observed at low temperatures for the porous 6H-SiC compared to the epitaxial 6H-SiC.

Materials Science Mesoscale and Nanoscale Physics

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