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X-WR-CALNAME:Stats\, Optimization\, and Machine Learning Seminar - Kyri Bak
 er
X-WR-TIMEZONE:Mountain Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20261009T051637Z
UID:tag:localist.com\,2008:EventInstance_3860924
DTSTART:20180904T213000Z
DTEND:20180904T223000Z
DESCRIPTION:Kyri Baker\, Civil\, Environmental\, and Architectural Engineer
 ing Department\, University of Colorado Boulder\n\nChance Constraints for 
 Smart Buildings and Smarter Grids\n\nEvolving energy systems are introduci
 ng heightened levels of stress on the electric power grid. Fluctuating ren
 ewable energy sources\, dynamic electricity pricing\, and new loads such a
 s plug-in electric vehicles are transforming the operation of the grid\, f
 rom the high-voltage transmission grid down to individual buildings. Grid 
 overvoltages\, instabilities\, and overloading issues are increasing\, but
  stochastic predictive optimization and control can help alleviate these u
 ndesirable conditions. Optimization techniques leveraging chance (probabil
 istic) constraints will be presented in this talk. Different ways to incor
 porate chance constraints into optimization problems\, including distribut
 ionally robust and joint chance constraint reformulations\, will be presen
 ted. Applications in smart buildings and distribution grids with high inte
 gration of solar energy are shown to benefit from chance constrained optim
 ization formulations\, reducing grid voltage issues\, conserving energy\, 
 and allowing buildings and the grid to interact in new ways. Speaker bio: 
  Prof. Kyri Baker received her Ph.D.\, M.S.\, and B.S. in Electrical and C
 omputer Engineering from Carnegie Mellon University in 2014\, 2010\, and 2
 009\, respectively. She is currently an Assistant Professor in the Civil\,
  Environmental\, and Architectural Engineering Department\, and the Electr
 ical\, Computer\, and Energy Engineering Department (by courtesy) at the U
 niversity of Colorado Boulder. Previously\, Dr. Baker was a research engin
 eer at the National Renewable Energy Laboratory. She has worked with acade
 mic\, industry\, and federal organizations to determine how advanced optim
 ization and control techniques can shape the needs of the future smart gri
 d.
GEO:40.006791;-105.262818
LOCATION:Engineering Center\, ECCR 257 (Newton Lab)
SUMMARY:Stats\, Optimization\, and Machine Learning Seminar - Kyri Baker
URL;VALUE=URI:https://calendar.colorado.edu/event/stats_optimization_and_ma
 chine_learning_seminar_-_kyri_baker
CATEGORIES:Colloquium/Seminar
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