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DTSTAMP:20260116T011111Z
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DTSTART;TZID=America/Los_Angeles:20260114T180000
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DESCRIPTION:Advanced sensor data analytics and cloud computation are redefi
 ning the way modern power grids are monitored and managed. With increasing
  integration of inverter-based resources (IBRs)\, there's a critical need 
 for high-resolution\, real-time data from systems such as phasor measureme
 nt units (PMUs) and point-on-wave sensors recently referred to as waveform
  measurement units (WMUs). These technologies enable enhanced situational 
 awareness\, rapid event detection\, and deeper insights into grid dynamics
 . To support these capabilities at scale\, cloud platforms are emerging as
  essential infrastructure. By eliminating geographical and physical constr
 aints\, cloud systems enable seamless data transmission\, enterprise-wide 
 access\, and scalable analytics. Following a review of these advanced\, we
  will introduce a sensor-to-cloud architecture\, allowing synchronized mea
 surement data to stream directly from substations to the cloud\, facilitat
 ing real-time visualization\, alarming\, parameter estimation\, and event 
 analysis. This architecture also supports Virtual Power Plant (VPP) manage
 ment by providing the operational data needed for coordinated control and 
 optimization of distributed energy resources\, marking a significant shift
  in utility operations and digital transformation strategies.\n\nThe prese
 ntation can be downloaded [here](https://drive.google.com/file/d/1vYiFSIhh
 YQM97OaNgQxdE9BenOOYoZtH/view?usp=share_link).\n\nRoom: 100\, Bldg: CP Eas
 t\, 8680 Balboa Ave\, San Diego\, CA 92123\, San Diego\, California\, Unit
 ed States\, 92123\, Virtual: https://events.vtools.ieee.org/m/524046
LOCATION:Room: 100\, Bldg: CP East\, 8680 Balboa Ave\, San Diego\, CA 92123
 \, San Diego\, California\, United States\, 92123\, Virtual: https://event
 s.vtools.ieee.org/m/524046
ORGANIZER:smanshadi@sdsu.edu
SEQUENCE:16
SUMMARY:Leveraging Cloud Platforms for Grid Modernization
URL;VALUE=URI:https://events.vtools.ieee.org/m/524046
X-ALT-DESC:Description: <br /><p>Advanced sensor data analytics and cloud c
 omputation are redefining the way modern power grids are monitored and man
 aged. With increasing integration of inverter-based resources (IBRs)\, the
 re's a critical need for high-resolution\, real-time data from systems suc
 h as phasor measurement units (PMUs) and point-on-wave sensors recently re
 ferred to as waveform measurement units (WMUs). These technologies enable 
 enhanced situational awareness\, rapid event detection\, and deeper insigh
 ts into grid dynamics. To support these capabilities at scale\, cloud plat
 forms are emerging as essential infrastructure. By eliminating geographica
 l and physical constraints\, cloud systems enable seamless data transmissi
 on\, enterprise-wide access\, and scalable analytics. Following a review o
 f these advanced\, we will introduce a sensor-to-cloud architecture\, allo
 wing synchronized measurement data to stream directly from substations to 
 the cloud\, facilitating real-time visualization\, alarming\, parameter es
 timation\, and event analysis. This architecture also supports Virtual Pow
 er Plant (VPP) management by providing the operational data needed for coo
 rdinated control and optimization of distributed energy resources\, markin
 g a significant shift in utility operations and digital transformation str
 ategies.</p>\n<p>&nbsp\;</p>\n<p>The presentation can be downloaded <a hre
 f="https://drive.google.com/file/d/1vYiFSIhhYQM97OaNgQxdE9BenOOYoZtH/view?
 usp=share_link">here</a>.&nbsp\;</p>
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