Research Output per Year
Research Output per Year
Overview
Personal Profile
Jon Maack's time at NREL has been focused on stochastic optimization, including renewable scenario selection and building and modeling using Julia and JuMP, and electromagnetic transients, including modeling and detecting, for the power grid.
Research Interests
Applied probability and statistics
Software development (especially computational software)
Optimization, dynamic programming and optimal control
Mathematical foundations of power systems
Professional Experience
Graduate Teaching Assistant, University of Massachusetts Amherst (2013–2018)
Senior Software Engineer, Lockheed Martin (2012–2013)
Software Engineer, Lockheed Martin (2009–2012)
Software Engineer Internship, Lockheed Martin (2008–2009)
Education/Academic Qualification
Master, Computational and Applied Mathematics, Colorado School of Mines
Bachelor, Computational and Applied Mathematics, Colorado School of Mines
PhD, Applied Mathematics, University of Massachusetts Amherst
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Collaborations and Top Research Areas From the Past 5 Years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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An Open-Source Parallel EMT Simulation Framework: Article No. 110734
Xiong, M., Wang, B., Vaidhynathan, D., Maack, J., Reynolds, M., Hoke, A., Sun, K., Ramasubramanian, D., Verma, V. & Tan, J., 2024, In: Electric Power Systems Research. 235, 7 p.Research output: Contribution to journal › Article › peer-review
1 Scopus Citations -
Exploiting Power Flow Manifold to Solve AC Optimal Power Flow
Maack, J., Sigler, D. & Goodwin, A., 2024, 28 p.Research output: NREL › Presentation
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Handling Iterative Solvers in an Algorithmic Differentiation Framework Using Implicit Methods
Allen, J., Doronina, O., Maack, J., Young, E., Ning, A., Cardoza, A. & Green, E., 2024, National Renewable Energy Laboratory (NREL).Research output: NREL › Poster
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Impact of Reordering on the LU Factorization Performance of Bordered Block-Diagonal Sparse Matrix
Monawwar, H., Ali, A., Cui, H., Maack, J. & Xiong, M., 2024. 6 p.Research output: Contribution to conference › Paper
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ParaEMT: An Open Source, Parallelizable, and HPC-Compatible EMT Simulator for Large-Scale IBR-Rich Power Grids
Xiong, M., Wang, B., Vaidhynathan, D., Maack, J., Reynolds, M., Hoke, A., Sun, K. & Tan, J., 2024, In: IEEE Transactions on Power Delivery. 39, 2, p. 911-921 11 p.Research output: Contribution to journal › Article › peer-review
5 Scopus Citations