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Professor Hidalgo-Gonzalez’s work focuses on high penetration of renewable energy using optimization, control theory and machine learning. She co-developed a stochastic power system expansion model to study the Western North America’s grid under climate change uncertainty. She also works on power dynamics with low and variable inertia, and controller design using machine learning and safety guarantees. She is generally interested in power dynamics, domestic and international energy policy, electricity market redesign to aid the integration of renewable energy, microgrids for wildfire risk mitigation, transmission and distribution systems, and machine learning for dynamical systems with safety guarantees.
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论文共 26 篇作者统计合作学者相似作者
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Paul Serna-Torre,Patricia Hidalgo-Gonzalez
IEEE Control Systems Lettersno. 99 (2024): 1-1
CoRR (2024)
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arxiv(2024)
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Research Square (Research Square) (2023)
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Patricia Hidalgo-Gonzalez, Natalia González, Paul Serna-Torre, P. A. Sánchez-Pérez, R. J. L. Davidson, Bryan Murray,Martin Staadecker,Julia Szinai, Rui Wei,Daniel M. Kammen,Deborah A. Sunter
Research Square (Research Square) (2023)
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Julia Szinai,David Yates, Pedro Sánchez Pérez,Martin Staadecker,Daniel M. Kammen, A. D. Jones,Patricia Hidalgo-Gonzalez
Research Square (Research Square) (2023)
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2022 IEEE Electrical Energy Storage Application and Technologies Conference (EESAT)pp.1-5, (2022)
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