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DTSTAMP:20230913T032549Z
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DTSTART;TZID=America/New_York:20230912T100000
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DESCRIPTION:The concept of a smart grid encompasses a network of intelligen
 t devices managing and controlling the generation\, transmission\, and dis
 tribution components of power systems. Such components can be optimized ba
 sed on environmental and economic constraints\, allowing utilities to enga
 ge consumers in power generation at different levels. In this realm\, bidi
 rectional power exchange becomes a reality. What makes such grids "smart" 
 is the extensive amount of data exchanged between the active components an
 d the enterprise systems managing them.\n\nThis talk explores the crucial 
 role of data exchange in controlling\, monitoring\, and coordinating the s
 mart equipment within the grid subsystem. It is known that to achieve opti
 mal performance\, big data analytics emerge as a necessity\, complemented 
 by the application of artificial intelligence and machine learning techniq
 ues. Consequently\, this talk also uncovers the diverse applications of bi
 g data analytics\, the Internet of Things (IoT) technology\, machine learn
 ing\, and artificial intelligence in the smart grid\, offering insights in
 to the benefits\, challenges\, impacts\, and problems associated with empl
 oying such techniques. Moreover\, some intriguing approaches to computing 
 and transmitting data will be unraveled.\n\nCo-sponsored by: Power and Ene
 rgy Systems Research Laboratory\n\nSpeaker(s): Dr. Shivanjali Khare\n\nVir
 tual: https://events.vtools.ieee.org/m/365574
LOCATION:Virtual: https://events.vtools.ieee.org/m/365574
ORGANIZER:ieeeunh@newhaven.edu
SEQUENCE:19
SUMMARY:Big Data Analytics in IoT-Aided Smart Grid
URL;VALUE=URI:https://events.vtools.ieee.org/m/365574
X-ALT-DESC:Description: <br /><p>The concept of a smart grid encompasses a 
 network of intelligent devices managing and controlling the generation\, t
 ransmission\, and distribution components of power systems. Such component
 s can be optimized based on environmental and economic constraints\, allow
 ing utilities to engage consumers in power generation at different levels.
  In this realm\, bidirectional power exchange becomes a reality. What make
 s such grids "smart" is the extensive amount of data exchanged between the
  active components and the enterprise systems managing them.</p>\n<p>This 
 talk explores the crucial role of data exchange in controlling\, monitorin
 g\, and coordinating the smart equipment within the grid subsystem. It is 
 known that to achieve optimal performance\, big data analytics emerge as a
  necessity\, complemented by the application of artificial intelligence an
 d machine learning techniques. Consequently\, this talk also uncovers the 
 diverse applications of big data analytics\, the Internet of Things (IoT) 
 technology\, machine learning\, and artificial intelligence in the smart g
 rid\, offering insights into the benefits\, challenges\, impacts\, and pro
 blems associated with employing such techniques. Moreover\, some intriguin
 g approaches to computing and transmitting data will be unraveled.</p>
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