Jinkyoo Park
Jinkyoo Park
Department of Industrial and Systems Engineering, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Layout optimization for maximizing wind farm power production using sequential convex programming
J Park, K Law
Applied Energy 151, 320-334, 2015
1172015
Electromagnetic energy harvester with repulsively stacked multilayer magnets for low frequency vibrations
SD Kwon, J Park, K Law
Smart materials and structures 22 (5), 055007, 2013
902013
A data-driven, cooperative wind farm control to maximize the total power production
J Park, KH Law
Applied Energy 165, 151-165, 2016
782016
Wind farm power maximization based on a cooperative static game approach
J Park, S Kwon, KH Law
Active and Passive Smart Structures and Integrated Systems 2013 8688, 86880R, 2013
652013
Cooperative wind turbine control for maximizing wind farm power using sequential convex programming
J Park, KH Law
Energy Conversion and Management 101, 295-316, 2015
592015
Large‐eddy simulation of stable boundary layer turbulence and estimation of associated wind turbine loads
J Park, S Basu, L Manuel
Wind Energy 17 (3), 359-384, 2014
592014
Toward a generalized energy prediction model for machine tools
R Bhinge, J Park, KH Law, DA Dornfeld, M Helu, S Rachuri
Journal of manufacturing science and engineering 139 (4), 2017
472017
An intelligent machine monitoring system for energy prediction using a Gaussian Process regression
R Bhinge, N Biswas, D Dornfeld, J Park, KH Law, M Helu, S Rachuri
2014 IEEE International Conference on Big Data (Big Data), 978-986, 2014
452014
Dissecting neural odes
S Massaroli, M Poli, J Park, A Yamashita, H Asama
arXiv preprint arXiv:2002.08071, 2020
422020
Bayesian Ascent: A Data-Driven Optimization Scheme for Real-Time Control With Application to Wind Farm Power Maximization
J Park, KH Law
IEEE Transactions on Control Systems Technology,, 1-14, 2016
392016
A generalized data-driven energy prediction model with uncertainty for a milling machine tool using Gaussian Process
J Park, KH Law, R Bhinge, N Biswas, A Srinivasan, DA Dornfeld, M Helu, ...
International Manufacturing Science and Engineering Conference 56833 …, 2015
352015
Classification of heart sound recordings using convolution neural network
H Ryu, J Park, H Shin
2016 Computing in Cardiology Conference (CinC), 1153-1156, 2016
312016
Physics-induced graph neural network: An application to wind-farm power estimation
J Park, J Park
Energy 187, 115883, 2019
222019
Toward Isolation of Salient Features in Stable Boundary Layer Wind Fields that Influence Loads on Wind Turbines
J Park, L Manuel, S Basu
Energies 8 (4), 2977-3012, 2015
212015
Multi-agent actor-critic with hierarchical graph attention network
H Ryu, H Shin, J Park
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7236-7243, 2020
162020
Power evaluation of flutter-based electromagnetic energy harvesters using computational fluid dynamics simulations
J Park, G Morgenthal, K Kim, SD Kwon, KH Law
Journal of Intelligent Material Systems and Structures 25 (14), 1800-1812, 2014
162014
An aero-elastic flutter based electromagnetic energy harvester with wind speed augmenting funnel
JK Park, KM Kim, SD Kwon, KH Law
Online http://eil. stanford. edu/publications/jinkyoo park/AWAS12. pdf, 2012
162012
Gaussian process regression (GPR) representation in predictive model markup language (PMML)
J Park, D Lechevalier, R Ak, M Ferguson, KH Law, YTT Lee, S Rachuri
Smart and sustainable manufacturing systems 1 (1), 121, 2017
152017
A data-driven approach for cooperative wind farm control
J Park, SD Kwon, KH Law
2016 American Control Conference (ACC), 525-530, 2016
152016
Stable neural flows
S Massaroli, M Poli, M Bin, J Park, A Yamashita, H Asama
arXiv preprint arXiv:2003.08063, 2020
132020
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