Thesis
Jalving, J., Graph-Based Modeling and Simulation of Cyber-Physical Systems, PhD Dissertation, The University of Wisconsin-Madison, 2020. [ProQuest]
Journal Publications
Jalving, J*., Eydenberg, M*., Blakely, L., Castillo, A., Kilwein, Z., Boukouvala, F., Laird, D., Machine Learning Surrogates for AC Power Flow with Optimization-Based Guarantees, International Journal of Electrical Power and Energy Systems, 2024. [DOI]
Jalving, J., Ghouse, J., Cortes N., Gao, X., Knueven B., Agi, D., Martin, S., Guittet, D., Bianchi, L., Beattie, K., Gunter, D., Siirola, J., Miller, D., Dowling, A., Beyond Price Taker: Conceptual Design and Optimization of Integrated Energy Systems using Machine Learning Market Surrogates, Applied Energy, 2023. [DOI]
Kilwein, Z., Jalving, J,. Blakely, L., Eydenberg, M., Laird, D., Boukouvala, F., Optimization with Deep Neural Network Surrogates: Formulations and Application to Security Constrained Optimal Power Flow, Energies, 2023. [DOI]
Ceccon, F.*, Jalving, J.*, Haddad, J., Thebelt, A., Tsay, C., Laird, D., Misener, R., OMLT: Optimization & Machine Learning Toolkit, Journal of Machine Learning Research, 2022. [link]
Jalving J., Shin S., and Zavala V.M., A Graph-based Modeling Abstraction for Optimization: Concepts and Implementation in Plasmo.jl, Mathematical Programming Computation, 2022. [ DOI | arXiv ]
Jalving, J., Cao, Y., and Zavala, V.M., Graph-Based Modeling and Simulation of Complex Systems, Computers & Chemical Engineering, 2019. [DOI | arXiv]
Kumar, R., Jalving, J., Wenzel, M.J., Ellis, M.J., ElBsat, M.N., Drees, K.H. and Zavala, V.M. Benchmarking Stochastic and Deterministic MPC: A Case Study in Stationary Battery Systems, AIChE Journal, 2019. [DOI]
Jalving, J., and Zavala, V.M., An Optimization-Based State Estimation Framework for Large-Scale Natural Gas Networks, Industrial and Engineering Chemistry Research, 2018. [DOI]
Jalving, J., Abhyankar, S., Kim, K., Hereld, M. and Zavala, V.M., A Graph-based Computational Framework for Simulation and Optimisation of Coupled Infrastructure Networks, IET Generation Transmission Distribution, 2017. [DOI | OSTI]
Conference Papers, Book Chapters, Technical Reports, etc...
Batsch-Smith L., Bice, C., Blakely, L., Bynum, M., Boukouvala, F., Castillo, A., Eydenberg, M., Haddad, J., Hart, W., Jalving, J., Kilwein Z., Laird, C., Skolfield, K., Resilience Enhancements through Deep Learning Yields, Technical Report, 2022. [OSTI]
Haddad, J., Bynum, M., Eydenberg, M., Blakely, L., Kilwein, Z., Boukouvala, F., Laird, D., Jalving J., Verification of Neural Network Surrogates, Computer Aided Chemical Engineering, 2022 [DOI]
Jalving, J., Carter, R., Zavala, V.M., Hybrid Optimization Strategies for the Transient Operation of Natural Gas Pipelines, PSIG 51st Annual Meeting, 2020. [link]
Jalving, J., and Zavala, V.M., Optimization in Chemical and Biological Engineering using Julia, Introduction to Software for Chemical Engineers, CRC Press, 2019. [link]
Jalving, J. and Zavala, V.M. Recent Advances in Graph-Based Abstractions for Modeling and Simulating Complex Systems. Computer Aided Chemical Engineering, 2019. [DOI]