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Oct. 30, 2019
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Home / Journals / International Journal of Economy, Energy and Environment / Secured and Reliable Smart Grid with Artificial Intelligence Approaches
Secured and Reliable Smart Grid with Artificial Intelligence Approaches

Special Issue Flyer (PDF)

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Lead Guest Editor:
Ramin Faraji
Inamori School of Engineering, Alfred University, Alfred, New York, USA
Guest Editors
Saeed Ahmadian
University of Houston
Houston, USA
Behrouz Azimian
Arizona State University
Phoenix, USA
Ehsan Ghotbi
Alfred University
New York, USA
Jahandar Jahanipour
University of Houston
Houston, USA
This Special Issue is designated to cover feature and scholarly papers that address some of the diverse array of topics related to Smart Grid, Cyber Security, control systems, wind energy. These topics include, but are not limited to, secure and resilient communication and control architectures, secure smart metering, cryptography, key management, machine and deep learning algorithms, security threat and vulnerability assessment and measurement, cyber-physical security information and communication, security design and verification tools, and simulation and performance analysis of security operations and services. Technological advances in all these areas, have profoundly affected the realization of the resilient and secure communications and information management that are essential to all aspects of the Smart Grid. We invite scientists and researchers from all fields to submit papers for this important Special Issue of “Secured and Reliable Smart Grid”. Case studies, reviews, and research papers on all topics related to cyber security issues of smart grids are invited.

Aims and Scope:

  1. Secure architecture and resilient communication
  2. Secure smart metering and control
  3. Cyber-physical security information and control
  4. Secure renewable energy penetrations
  5. Simulation and performance of machine learning algorithms
  6. Machine and deep learning solutions in smart grids
  7. Artificial intelligence (AI) in smart metering
  8. Artificial intelligence applications in renewable and sustainable energies
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