就业市场的候选人/学生: 帕特里夏·伊达尔戈 - 冈萨雷斯硕士,博士

帕特里夏是博士由丹尼尔·卡梅和克莱尔·汤姆林候选人在加州大学伯克利分校联合建议。她获得的M.S.从能量和资源组,加州大学伯克利分校(2016)。她毕业于最高荣誉来自智利天主教主教大学的工业和电气工程师。

她是一个NSF grfp研究员,能源的Siebel学者,明星在EECS上升,并已获得了加州大学伯克利分校GOP,以及优秀研究生指导教师奖(教学凸优化与教授洛朗·埃尔ghaoui和Alex巴燕)。

Her work focuses on high penetration of renewable 能源 using optimization, control theory and machine learning. Patricia co-developed a stochastic power system expansion model to study the Western North America’s grid under 气候变化 uncertainty. She also works on frequency regulation with low inertia. Her collaborations have included the California Energy Commission, LBNL, NREL, E3, and NRDC. She served as Best Paper Session Judge for the session “Power System Stability, Phasor Measurements, Protection, and Control” at the 2019 IEEE Power & Energy Society General Meeting (PESGM). Patricia also serves as an IEEE reviewer for the Transactions on Power Systems journal, Conference on Decision and Control, American Control Conference, and PESGM.

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联系
patricia.hidalgo.g@berkeley.edu

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