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Bayesian Ascent: A Data-Driven Optimization Scheme for Real-Time Control With Application to Wind Farm Power Maximization

IEEE transactions on control systems technology, 2016-09, Vol.24 (5), p.1655-1668

2016

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Toward a Generalized Energy Prediction Model for Machine Tools

Journal of manufacturing science and engineering, 2017-04, Vol.139 (4)

2017

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

Energy (Oxford), 2019-11, Vol.187, p.115883, Article 115883

2019

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Layout optimization for maximizing wind farm power production using sequential convex programming

Applied energy, 2015-08, Vol.151, p.320-334

2015

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Demand-Side Management With Shared Energy Storage System in Smart Grid

IEEE transactions on smart grid, 2020-09, Vol.11 (5), p.4466-4476

2020

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Cooperative zone-based rebalancing of idle overhead hoist transportations using multi-agent reinforcement learning with graph representation learning

IIE transactions, 2021-10, Vol.53 (10), p.1140-1156

2021

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Learning Stochastic Optimal Policies via Gradient Descent

IEEE control systems letters, 2022, Vol.6, p.1094-1099

2022

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Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission

Journal of computational and graphical statistics, 2022-07, Vol.31 (3), p.666-683

2022

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Toward Isolation of Salient Features in Stable Boundary Layer Wind Fields that Influence Loads on Wind Turbines

Energies (Basel), 2015-04, Vol.8 (4), p.2977-3012

2015

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Contextual Bayesian optimization with trust region (CBOTR) and its application to cooperative wind farm control in region 2

Sustainable energy technologies and assessments, 2020-04, Vol.38, p.100679, Article 100679

Park, Jinkyoo

2020

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Count-based change point detection via multi-output log-Gaussian Cox processes

IIE transactions, 2020-09, Vol.52 (9), p.998-1013

2020

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

International journal of production research, 2021-06, Vol.59 (11), p.3360-3377

2021

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Incentive Design of Shared ESS Energy Trading Game

IEEE transactions on control systems technology, 2024, p.1-8

2024

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A data-driven, cooperative wind farm control to maximize the total power production

Applied energy, 2016-03, Vol.165, p.151-165

2016

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Transfer learning for enhancing the homogenization-theory-based prediction of elasto-plastic response of particle/short fiber-reinforced composites

Composite structures, 2022-04, Vol.285, p.115210, Article 115210

2022

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A Neural Separation Algorithm for the Rounded Capacity Inequalities

INFORMS journal on computing, 2024-07, Vol.36 (4), p.987-1005

2024

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Cooperative wind turbine control for maximizing wind farm power using sequential convex programming

Energy conversion and management, 2015-09, Vol.101, p.295-316

2015

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Transferable traffic signal control: Reinforcement learning with graph centric state representation

Transportation research. Part C, Emerging technologies, 2021-09, Vol.130, p.103321, Article 103321

2021

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Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems

Transportation science, 2024-09

2024

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Special issue on advances in computational optimization and their modern applications

Optimization letters, 2024-12, Vol.18 (9), p.1961-1962

2024

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Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks

Journal of intelligent manufacturing, 2023-12, Vol.34 (8), p.3623-3636

2023

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

IEEE transactions on sustainable energy, 2020-10, Vol.11 (4), p.2294-2304

2020

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Electromagnetic energy harvester with repulsively stacked multilayer magnets for low frequency vibrations

Smart materials and structures, 2013-05, Vol.22 (5), p.55007

2013

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Congestion-aware dynamic routing for an overhead hoist transporter system using a graph convolutional gated recurrent unit

IIE transactions, 2022-08, Vol.54 (8), p.803-816

2022

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Hierarchical Anomaly Detection Using a Multioutput Gaussian Process

IEEE transactions on automation science and engineering, 2020-01, Vol.17 (1), p.261-272

2020

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Bayesian Ascent: A Data-Driven Optimization Scheme for Real-Time Control With Application to Wind Farm Power Maximization

Toward a Generalized Energy Prediction Model for Machine Tools

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

Layout optimization for maximizing wind farm power production using sequential convex programming

Demand-Side Management With Shared Energy Storage System in Smart Grid

Cooperative zone-based rebalancing of idle overhead hoist transportations using multi-agent reinforcement learning with graph representation learning

Learning Stochastic Optimal Policies via Gradient Descent

Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission

Toward Isolation of Salient Features in Stable Boundary Layer Wind Fields that Influence Loads on Wind Turbines

Contextual Bayesian optimization with trust region (CBOTR) and its application to cooperative wind farm control in region 2

Count-based change point detection via multi-output log-Gaussian Cox processes

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

Incentive Design of Shared ESS Energy Trading Game

A data-driven, cooperative wind farm control to maximize the total power production

Transfer learning for enhancing the homogenization-theory-based prediction of elasto-plastic response of particle/short fiber-reinforced composites

A Neural Separation Algorithm for the Rounded Capacity Inequalities

Cooperative wind turbine control for maximizing wind farm power using sequential convex programming

Transferable traffic signal control: Reinforcement learning with graph centric state representation

Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems

Special issue on advances in computational optimization and their modern applications

Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks

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

Electromagnetic energy harvester with repulsively stacked multilayer magnets for low frequency vibrations

Congestion-aware dynamic routing for an overhead hoist transporter system using a graph convolutional gated recurrent unit

Hierarchical Anomaly Detection Using a Multioutput Gaussian Process

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