Publications

Refereed Articles  (Students advised by me are denoted by *)

  • Jang, Youngchan and Byon, E. Probabilistic Characterization of Wind Diurnal Variability at Non-observational Locations for Wind Resource Assessment, IEEE Transactions on Sustainable Energy, accepted.
  • AlShelahi, A., Wang, J., You, M., Byon, E. and Saigal, R., Data-Driven Prediction for Volatile Processes Based on Real Option Theories, International Journal of Production Economics, accepted.
  • Parikh, N. D., W. J., Wang, J., Steuer, J., Tapper, E. B., Konerman, M., Singal, A. G., , Hutton, D. W., Byon, E., and Lavieri, M. S.  2019, Projected increase in obesity and non-alcoholic steatohepatitis-related liver transplantation waitlist additions in the United States, Hepatology, vol. 70, PP. 487-495.
    • Mary G. and Joseph Natrella Scholarship Award Winning paper from the Quality and Productivity Section of American Statistical Association (ASA)
  • Pan, Q.* and Byon, E., 2017, Adaptive extreme load estimation in wind turbines, In Proceedings of the AIAA Science and Technology Forum and Exposition.
  • Choe, Y.*, Byon, E., Jin, J., Guo, W., and Li, J., 2016, Change-point detection in solar panel performance analysis, In Proceeding of the Industrial Engineering Research Conference, Anaheim, California, May 21-24, 2016.
    • Best Paper Award winning paper in Energy Systems track.
  • Zhang, Y., Zhang, J., Kane, M. B., Häckell, M. Byon, E., Rolfes, R. and Lynch, J. P., 2015, Wireless Monitoring and Spectral Analysis of a 3 kW Wind Turbine for Condition Monitoring, In Proceedings of the 10th International Workshop on Structural Health Monitoring 2015, Stanford, CA, September 1-3.
  • Lin, Y., Liu, K., Byon, E., Qian, X and Huang, 2015, S. Domain-knowledge driven cognitive degradation modeling of alzheimer’s disease, In Proceedings of SIAM (Society for industrial and Applied Mathematics) International Conference on Data Mining (SDM) conference (historical paper acceptance rate < 25%).
  • Byon, E. 2013, Wind turbine operations and maintenance: A tractable approximation of dynamic decision-makingIIE Transactions on Quality and Reliability Engineering, Vol. 45, No. 11, pp. 1188-1201 
    • Best applications paper award in IIE Transactions Focused Issue on Quality & Reliability Engineering.
    • Finalist in 2014 INFORMS Energy, Natural Resources, and the Environment (ENRE) Young Researcher Prize
    • Featured by the Editor-in-Chief in the October Issue 2013 of IE Magazine.
  • Byon, E., Ntaimo, L., Singh, C., and Ding, Y., 2013, Wind energy facility reliability and maintenance,Handbook of Wind Power Systems, Energy Systems, Springer-Verlag Berlin Heidelberg (edited by Pardalos, Pereira, Rebennack and Boyko, this book-chapter article was peer-reviewed). 
  • Byon, E. and Ding, Y., 2011, Integrating simulation and optimization for wind farm operations under stochastic conditions, Proceedings of the 2011 Industrial Engineering Research Conference.
  • Pérez, E., Ntaimo, L., Byon, E., and Ding, Y., 2010, A stochastic DEVS wind turbine component model for wind farm simulationSymposium on Theory of Modeling and Simulation – DEVS Integrative M&S Symposium (DEVS 2010), Orlando, FL, April 12-15.
  • Hu, X., Li, Y., Byon, E., and Lawrence, F. B., 2009, Prioritizing regular orders while reserving capacity for emergency demandManufacturing and Service Operations Management Society (MSOM) Annual Conference, Cambridge, MA, June 28-30).
  • Byon, E., Ding, Y., and Ntaimo, L, 2009, Optimal maintenance strategies for wind turbine systems,The 15th ISSAT International Conference on Reliability and Quality in Design, San Francisco, CA, August 6-8.
  • Park, C., Ding, Y., and Byon, E., 2008, Collaborative data reduction for energy efficient sensor networksAnnual IEEE Conference on Automation Science and Engineering (CASE 2008), Washington, D.C. August 23-27.
  • Ding, Y., Byon, E., Park, C., Tang, J., Lu, Y., and Wang, X., 2007, Dynamic data-driven fault diagnosis of wind turbine systems, Lecture Note in Computer Science, Vol. 4487, 1197-1204. 
  • Li, D., Menassa, C. C.,  Kamat, V. R., Byon, E. HEAT – Human Embodied Autonomous Thermostat, submitted.

  • Wang, J., Abdullah AlShelahi, You, M., Byon, E. and Saigal, R., Integrative Probabilistic Prediction and Uncertainty Quantification of Wind Power Generation, submitted.
  • Pan, Q. and Byon, E., Uncertainty Quantification for Extreme Quantile Estimation with stochastic computer models, under revision.
  • Pan, Q., Byon, E. and Lam, H. Adaptive Importance Sampling for Extreme Quantile Estimation with Stochastic Black Box Computer Models, under revision.