Junyoung Park

Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

Junyoung Park · International Journal of Production Research · 2021 · 281 citations · Full text

Physics-induced graph neural network: An application to wind-farm power estimation

Junyoung Park, Jinkyoo Park · Energy · 2019 · 120 citations

Engineering, Wind Power Generation, Smart Grid +7

Graph Neural Ordinary Differential Equations

Michael Poli, Stefano Massaroli, Junyoung Park et al. · arXiv (Cornell University) · 2019 · 61 citations · Full text

Geometric Learning, Engineering, Machine Learning +16

Wind Field-Based Short-Term Turbine Response Forecasting by Stacked Dilated Convolutional LSTMs

Seongcheol Woo, Junyoung Park, Jinkyoo Park et al. · IEEE Transactions on Sustainable Energy · 2019 · 36 citations

Convolutional Neural Network, Engineering, Machine Learning +16

Predicting Wind Turbine Power and Load Outputs by Multi-task Convolutional LSTM Model

Seongcheol Woo, Junyoung Park, Jinkyoo Park · 2018 · 28 citations

Wind Turbine Responses, Engineering, Machine Learning +15