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DTSTAMP:20201203T154042Z
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DTSTART;TZID=US/Central:20201202T120000
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DESCRIPTION:New control\, optimization algorithms\, and other research and 
 development projects are being developed by research institutions and vend
 ors to address new issues such as grid resilience\, grid modernization\, a
 nd increased penetration of distributed energy resources. However\, due to
  the sensitivity of data sets and models that often contain critical infra
 structure information and/or personally identifiable information\, new res
 earch projects and vendor products cannot be easily tested on real grid da
 ta. Furthermore\, if research projects and products do manage to test usin
 g sensitive data\, the complete test datasets and related results cannot b
 e shared\, restricting the ability to independently validate results and p
 erform peer review. For these reasons\, in 2016\, ARPA-E funded the GRID D
 ATA project to develop new\, large and realistic grid models that are publ
 ic and can be used by researchers\, vendors\, and utilities. A result of t
 his project was the creation of the BetterGrids.org Grid Data Repository t
 hat contains many new\, large and realistic publicly available grid models
 . As a follow-on and currently on-going project\, ARPA-E funded another re
 search project to reduce complexity\, cost\, and friction when vendors\, u
 tilities\, researchers and grid business entities need to share data that 
 does include sensitive information.\n\nCo-sponsored by: Joe Peterson\n\nSp
 eaker(s): Terry Nielsen\, \n\nMadison\, Wisconsin\, United States\, Virtua
 l: https://events.vtools.ieee.org/m/240538
LOCATION:Madison\, Wisconsin\, United States\, Virtual: https://events.vtoo
 ls.ieee.org/m/240538
ORGANIZER:michael.stemper@gmail.com
SEQUENCE:10
SUMMARY:A New Grid Model Repository and New Ways to Securely Share Grid Dat
 a for Research and Industry
URL;VALUE=URI:https://events.vtools.ieee.org/m/240538
X-ALT-DESC:Description: <br /><p>New control\, optimization algorithms\, an
 d other research and development projects are being developed by research 
 institutions and vendors to address new issues such as grid resilience\, g
 rid modernization\, and increased penetration of distributed energy resour
 ces. However\, due to the sensitivity of data sets and models that often c
 ontain critical infrastructure information and/or personally identifiable 
 information\, new research projects and vendor products cannot be easily t
 ested on real grid data. Furthermore\, if research projects and products d
 o manage to test using sensitive data\, the complete test datasets and rel
 ated results cannot be shared\, restricting the ability to independently v
 alidate results and perform peer review. For these reasons\, in 2016\, ARP
 A-E funded the GRID DATA project to develop new\, large and realistic grid
  models that are public and can be used by researchers\, vendors\, and uti
 lities. A result of this project was the creation of the BetterGrids.org G
 rid Data Repository that contains many new\, large and realistic publicly 
 available grid models. As a follow-on and currently on-going project\, ARP
 A-E funded another research project to reduce complexity\, cost\, and fric
 tion when vendors\, utilities\, researchers and grid business entities nee
 d to share data that does include sensitive information.</p>
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