Author: Falyn Eisiminger

Gao, X., Knueven, B., Siirola, J. D., Miller, D. C., & Dowling, A.W. (2022). Multiscale simulation of integrated energy system and electricity market interactions. Applied Energy, 316. https://doi.org/10.1016/j.apenergy.2022.119017

Zhao, F., Grossmann, I. E., García Muñoz, S., & Stamatis, S. D. (2022). Design space description through adaptive sampling and symbolic computation. AIChE Journal 2022, 68(5). https://doi.org/10.1002/aic.17604

Hanselman, C. L., Yin, X., Miller, D. C., & Gounaris, C. E. (2022). MatOpt: A Python package for nanomaterials design using discrete optimization. Journal of Chemical Information and Modeling, 62(2), 295-308. https://doi.org/10.1021/acs.jcim.1c00984

Li, C., Conejo, A. J., Siirola, J. D., & Grossmann, I. E. (2022). On representative day selection for capacity expansion planning of power systems under extreme events. International Journal of Electrical Power & Energy Systems, 137. https://doi.org/10.1016/j.ijepes.2021.107697

Li., C., Conejo, A. J., Liu, P., Omell, B. P., Siirola, J. D., & Grossmann, I. E. (2022). Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems. European Journal of Operation Research, 297(3), 1071-1082. https://doi.org/10.1016/j.ejor.2021.06.024

Sauk, B., & Sahinidis, N. V. (2021). HybridTuner: Tuning with hybrid derivative-free optimization initialization strategies. In Simos, D.E., Pardalos, P.M., & Kotsireas, I.S. (Eds.), LION 2021: Learning and Intelligent Optimization, Lecture Notes in Computer Science 12931, (pp. 379-393). https://doi.org/10.1007/978-3-030-92121-7_29