Publications

JOURNAL ARTICLES

  1. Park, S. Kwon, and K. H. Law. “A data-driven, cooperative approach for wind farm control: a wind tunnel experimentation,” Energy (submitted).
  2. Bhinge, J. Park, N. Biswas, M. Moneer, S. Rachuri, D. Dornfeld and K. H. Law. “An intelligent machine monitoring system for energy prediction using a Gaussian Process regression,” ASME Journal of Manufacturing Science and Engineering (Accepted).
  3. Park and K. H. Law. “Bayesian Ascent (BA): An efficient data-driven optimization scheme for real-time control and its application to wind farm power maximization,” IEEE Transactions on Control Systems Technology, DOI: 10.1109/TCST.2015.2508007
  4. Park and K. H. Law. “A data-driven, cooperative wind farm control to maximize the total power production,” Applied Energy, volume 165, pp.151-165.
  5. Park and K. H. Law. (2015). “Cooperative wind turbine control for maximizing wind farm power using sequential convex programming,” Energy Conversion and Management, 101, pp. 295-316.
  6. Park and K. H. Law. (2015). “Layout optimization for maximizing wind farm power production using sequential convex programming,” Applied Energy, 151, pp. 320-334.
  7. Park, S. Basu and L. Manuel. (2015). “Toward isolation of salient features in stable boundary layer wind fields that influence loads on wind turbines,” Energies, 8(4), pp. 2977-3012.
  8. Park, K. Smarsly, K. H. Law and D. Hartmann. (2015). “Analyzing the temporal variation of wind turbine responses using Gaussian Mixture Model and Gaussian Discriminant Analysis,” Journal of Computing in Civil Engineering, 29(4), pp. B4014011-1-11.
  9. Shi, J. Park, L. Manuel and M. Tognarelli. (2014). “A data-driven model identification algorithm for riser fatigue damage assessment,” Journal of Offshore Mechanics and Arctic Engineering, 136(3), 031702.
  10. Park, G. Morgenthal, K. Kim, S. Kwon and K. H. Law. (2013). “Power evaluation of flutter-based electromagnetic energy harvesters using computational fluid dynamics simulations,” Journal of Intelligent Material Systems and Structures, 25(14), 1800-1812.
  11. Kwon, J. Park and K. H. Law. (2013). “Electromagnetic energy harvester with repulsively stacked multilayer magnets for low frequency vibrations,” Smart materials and structures, 22(5), pp. 055007.
  12. Park, S. Basu and L. Manuel. (2013). “Large-eddy simulation of stable boundary layer turbulence and estimation of associated wind turbine loads,” Wind Energy, 17(3), pp. 359-384.

CONFERENCE PAPERS

  1. Park, R. Bhinge, M. Chen, D. Dornfeld and K. H. Law, “Real-Time Energy Prediction for a Milling Machine Tool Using Sparse Gaussian Process Regression,” 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, U.S., Oct 29-Nov 01, 2015.
  2. Park, S. Kwon and K. H. Law, “Bayesian Ascent method: An efficient data-driven optimization for maximizing wind farm power,” International Workshop on Structural Health Monitoring 2015 (IWSHM 2015), Stanford, CA, U.S., September 1-3, 2015.
  3. Park, R. Bhinge, N. Biswas, A. Srinivasan, M. Moneer, S. Rachuri, D. Dornfeld and K. H. Law, “A generalized data-driven energy prediction model with uncertainty for a milling machine tool using Gaussian Process,” 2015 ASME International Manufacturing Science and Engineering Conference (MSEC 2015), Charlotte, NC, U.S., Jul 8-12, 2015 (Best paper award).
  4. Park and K. H. Law, “A Bayesian optimization approach for wind farm power maximization,” Proceedings of the SPIE Smart Structures/NDE Conference, San Diego, CA, U.S., March 8-12, 2015.
  5. Bhinge, J. Park, N. Biswas, M. Moneer, S. Rachuri, D. Dornfeld and K. H. Law, “An intelligent machine monitoring system for energy prediction using a Gaussian Process regression,” 2014 IEEE International Conference on Big Data), Washington, DC, U.S., Oct 27-30, 2014.
  6. Park and K. H. Law, “A Bayesian Optimization Approach For Wind Farm Monitoring and Power Maximization,” Proceedings of the 6th International Conference on Structural Health Monitoring of Intelligence Infrastructure, Hong Kong, China, December 9-11, 2013.
  7. Park, K. Smarsly, K. H. Law and D. Hartmann, “Application of incremental Gaussian mixture models for characterization of wind field data,” Proceedings of the 9th International Workshop on Structural Health Monitoring. Stanford, CA, U.S., September 10-12, 2013.
  8. Park, K. Smarsly, K. H. Law, D. Hartmann, “Multivariate analysis and prediction of wind turbine response to varying wind field characteristics based on machine learning,” Proceedings of the ASCE International Workshop on Computing in Civil Engineering, Los Angeles, CA, U.S., June 23-25, 2013 (Best paper award).
  9. Park, S. Kwon and K. H. Law, “Asynchronous phase shifted electromagnetic energy harvester,” Proceedings of the SPIE Smart Structures/NDE Conference, San Diego, CA, U.S., March 10-14, 2013.
  10. Park, S. Kwon and K. H. Law, “Wind farm power maximization based on a cooperative static game approach,” Proceedings of the SPIE Smart Structures/NDE Conference, San Diego, CA, U.S., March 10-14, 2013.
  11. Park, G. Morgenthal, S. Kwon and K. H. Law, “Power evaluation for flutter-based electromagnetic energy harvester using CFD simulations,” First International Conference on Performance-based and Life-cycle Structural Engineering, Hong Kong, China, December 5-7, 2012.
  12. Park, K. Kim, S. Kwon and K. H. Law, “An aero-elastic flutter based electromagnetic energy harvester with wind speed augmenting funnel,” The 2012 Int’l Conference on Advances in Wind and Structures (AWAS 2012), Seoul, Korea, August 26-30, 2012.
  13. Park, L. Manuel and S. Basu “Toward understanding characteristics of the stable boundary layer that influence wind turbine loads,” 50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, Nashville, TN, U.S., Jan 9-12, 2012.
  14. Park, L. Manuel and S. Basu “LES of wind fields and wind turbine load estimation,” 50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, Nashville, TN, U.S., Jan 9-12, 2012.
  15. C. Shi, J. Park, L. Manuel and M.A. Tognarelli, “A data-driven model identification algorithm for fatigue damage assessment in instrumented marine risers,” ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering, Rotterdam, The Netherland, June 19-25, 2011.