More Resilient Electric Grids Using Satellites Images and Artificial Intelligence

#Power #system #smart #grid #artificial #intelligence #satellites
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Vegetation management is one of the most substantial operating expenses for many power distribution utilities. Current processes are highly manual and work-intensive by utilizing helicopters, drones, and crews visually inspecting all sections of the utility line. Improper line maintenance leads to increased weather and vegetation induced outages, and a heightened risk for wildfire ignition. By utilizing data from satellites together with intelligence gathered from drones, we can significantly reduce inspection and vegetation management costs while also reducing the risks of wildfire.  This talk presents the GridEyeS project which is an end-to-end machine learning and image processing framework for data fusion to better monitor the power lines vegetation from space to the ground. The talk also overviews the potential of space-based technologies to improve operation of power systems. GridEyeS is supported by the European Space Agency.


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  • Date: 03 Nov 2020
  • Time: 04:30 PM to 05:30 PM
  • All times are (UTC+01:00) Vienna
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  • Privatdoz. Dipl.-Ing. Dr. THOMAS I. STRASSER
    Senior Scientist
    Electric Energy Systems
    Center for Energy

    AIT Austrian Institute of Technology GmbH
    Giefinggasse 2 | 1210 Vienna | Austria
    thomas.strasser@ait.ac.at | www.ait.ac.at

  • Co-sponsored by AIT Austrian Institute of Technology GmbH
  • Starts 01 October 2020 09:00 AM
  • Ends 01 November 2020 06:00 PM
  • All times are (UTC+01:00) Vienna
  • No Admission Charge

  Speakers

Prof. Reza Arghandeh Prof. Reza Arghandeh of Western Norway University of Applied Sciences, Bergen, Norway and Lead Data Scientist, StormGeo AS, Norway

Biography:

Dr. Reza Arghandeh is a Professor in the Department of Computer Science, Electrical Engineering and Mathematical Sciences at the Western Norway University of Applied Sciences, in Bergen, Norway. He is the director of the Collaborative Intelligent Infrastructure Lab (CI2Lab). He is also a senior data scientist in StormGeo company. He has been an Assistant Professor in the Electrical and Computer Engineering Dept, and the Center for Advanced Power Systems at Florida State University, USA, 2015-2018. He completed his Ph.D. in Electrical Engineering at Virginia Tech (2013) and spent two years as a post-doctorate fellow at the University of California-Berkeley. He also holds two masters degrees, one in Industrial & Systems Engineering from Virginia Tech (2013) and the other in Mechanical Engineering from the University of Manchester (2008). He has been a power system software designer at Electrical Distribution Design Inc. in Virginia, USA, 2011-2013. Dr. Arghandeh is the recipient of the IBM Faculty Award in 2018. He is a senior member of IEEE. His research interests include data analysis and decision support for smart grids and smart cities.

Address:Bergen, Norway




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Invitation 586.30 KiB