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X-WR-CALDESC:Events for Northeastern University College of Engineering
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DTSTART;VALUE=DATE:20231026
DTEND;VALUE=DATE:20231029
DTSTAMP:20260514T170953
CREATED:20230728T134626Z
LAST-MODIFIED:20230728T134626Z
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SUMMARY:WE23
DESCRIPTION:Join COE Graduate Admissions at Society of Women Engineers (SWE) WE23 Conference. Find us at the Career Fair and an Admissions representative will be happy to answer your questions about our graduate engineering programs.
URL:https://coe.northeastern.edu/event/we23/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20231026
DTEND;VALUE=DATE:20231029
DTSTAMP:20260514T170953
CREATED:20230728T134657Z
LAST-MODIFIED:20230728T134657Z
UID:37648-1698278400-1698537599@coe.northeastern.edu
SUMMARY:SACNAS National Diversity in STEM Conference
DESCRIPTION:Join COE Graduate Admissions at SACNAS 50th NDiSTEM Conference. Meet us at the Graduate School and Career Expos and an Admissions representative will be happy to answer your questions about our graduate engineering programs.
URL:https://coe.northeastern.edu/event/sacnas-national-diversity-in-stem-conference/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
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DTSTART;TZID=America/New_York:20231027T120000
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UID:40011-1698408000-1698415200@coe.northeastern.edu
SUMMARY:Khoury Fireside Chat with Kashmir Hill
DESCRIPTION:Join Khoury Dean Elizabeth Mynatt for a thought-provoking fireside chat on AI with New York Times columnist Kashmir Hill. The event will be held on Friday\, October 27 from 12:00 to 2:00 p.m. in the Fenway Center and will be moderated by Associate Professor David Choffnes. This event will include insights from Hill\, along with a question-and-answer section and a networking reception. \nHill is the author of Your Face Belongs to Us\, a national bestseller released last year that tells the story of a “small AI company that gave facial recognition to law enforcement\, billionaires\, and businesses\, threatening to end privacy as we know it.” \nRegistration for the event is required. \nRegister
URL:https://coe.northeastern.edu/event/khoury-fireside-chat-with-kashmir-hill/
LOCATION:Fenway Center\, 77 St. Stephen Street\, Boston\, MA\, 02115\, United States
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DTSTART;TZID=America/New_York:20231027T160000
DTEND;TZID=America/New_York:20231027T170000
DTSTAMP:20260514T170953
CREATED:20231020T144032Z
LAST-MODIFIED:20231020T144032Z
UID:39992-1698422400-1698426000@coe.northeastern.edu
SUMMARY:Ugur Can Yilmaz PhD Proposal Review
DESCRIPTION:Title:\nRobust and Computationally Efficient Three-Phase State Estimation for  Large-Scaled Unbalanced Power Systems \nDate:\n10/27/2023 \nTime:\n4:00:00 PM \nCommittee Members:\nProf. Ali Abur (Advisor)\nProf. Mahshid Amirabadi\nDr. Bilgehan Donmez \nAbstract:\nPower system monitoring is crucial for ensuring the stability and reliability of electrical grids\, allowing for the timely detection of anomalies and potential faults\, thus facilitating proactive maintenance and preventing widespread outages. The growing need and interest in real-time monitoring of large distribution networks motivated by the rapid population of renewable sources\, EVs etc. demand an accurate\, robust and computationally efficient three-phase state estimation framework which is capable of handling unbalanced operation in asymmetrical structured networks. \nThe challenge common to distribution system state estimation are twofold: (1) while the phase angle of any of the bus voltages can be chosen as the angular reference in the state estimation formulation of positive sequence networks\, the same approach does not readily extend to three-phase distribution network state estimation problem and (2) the scalability of the estimation in terms of computational performance for very large-scaled networks is not trivial without compromising the robustness of the estimator. In this study\, a novel state estimation formulation will be presented which facilitates correct solution irrespective of the existence of buses with perfectly balanced voltages.  The new formulation is general. It yields accurate results in any three-phase power system irrespective of its operating conditions (balanced or highly unbalanced)\, configuration (isolated microgrid\, connected to transmission system\, etc.) and whether or not it contains any synchronous generators. Additionally\, this research introduces innovative methodologies aimed at enhancing the efficacy of the state estimator for application in distribution networks. It is ensured that the computational efficiency of the estimator remains viable while the robustness is guaranteed\, even when dealing with highly extensive power networks using a parallel distributed state estimation framework. At the core of the proposed approach are two partitioning algorithms that enable efficient parallelisation of computations both for radial and meshed networks. All the methodologies have been formulated\, implemented\, and their effectiveness confirmed through preliminary results employing straightforward test scenarios.
URL:https://coe.northeastern.edu/event/ugur-can-yilmaz-phd-proposal-review/
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