Special Session in IJCNN2016

WCCI 2016 Special Session http://www.wcci2016.org/spsessions.php

Title: Computational Intelligence and Machine Learning for Power Grid Security

Aim: Through the recently years, new computational intelligence and machine learning methodologies and frameworks have been developed as useful techniques to address power grid security issues. The blackouts, cascading failures, cyber/physical attacks and other stability issues have attracted researchers from cross-discipline to look into this interdisciplinary topic. Modern and complex power grid operation and safety issues also need the special attention and involvement of people with expertise in aforementioned fields. This special session will provide a unique platform for researchers from different societies, including computational intelligence, machine learning, power and energy, cyber security, communications, neuroscience and among others, to share their research experience towards a secure and smart modern power grid. The special session will also enhance the discussion among different communities to explore more challenge cross-discipline topics along this direction.

 

 

Scope and Topics:

This special session will provide a forum to discuss recent development in power grid security based on all kinds of computational intelligence and machine learning techniques. We are particularly interested in the following topics:

·        Computational intelligence for cascading failures in power system

·        Computational intelligence for multi-contingency analysis in power system

·        Computational intelligence for power grid security alarm forecasting, planning and assessment

·        Computational Intelligence for cyber and/or physical attack in power system

·        Computational Intelligence for power grid risk assessment

·        Machine learning for power system data recognition, detection, classification/clustering and analysis

·        Machine learning for power system intrusion detection

·        Machine learning for power grid transmission and communication security (i.e., encryption, authentication and access control)

·        Machine learning for power grid risk modeling (e.g., vulnerability assessment, impact analysis and trust management)

·        Power grid (e.g, generation, transmission and load) vulnerability Assessment and physical security

·        AC/DC power flow stability analysis based on computational intelligence and machine learning

 

 

IMPORTANT DATES

·        Paper Submission Deadline: 31 Jan 2016

·        Notification of Acceptance: 15 Mar 2016

·        Final Paper Submission Deadline: 15 Apr 2016

 

Paper Submission:

 

·        Please follow the IEEE WCCI/IJCNN 2016 Submission Web Site (http://ieee-cis.org/conferences/ijcnn2016/upload.php).

·        Please specify that “Main research topic*” your paper is for the Special Session on “Th. Computational Intelligence and Machine Learning for Power Grid Security”.

·        All papers accepted and presented at WCCI/IJCNN 2016 will be included in the conference proceedings published by IEEE Explore, which are typically indexed by EI. 

 

 

 

 

Name of organizer:

Zhen Ni, South Dakota State University, SD, USA 

Haibo He, University of Rhode Island, RI, USA

Yan Sun, University of Rhode Island, RI, USA

Dongbin Zhao, Chinese Academic of Science, Beijing, China

 

 

Technical Program Committee (Tentative):

Timothy Hansen, South Dakota State University, SD, USA

Reinaldo Tonkoski, South Dakota State University, SD, USA

Chaoxu Mu, Tianjin University, China

Wei Sun, University of Central Florida, FL, USA

Kang Li, Queen’s University, UK

Robert Fourney, South Dakota State University, SD, USA

Sumit Paudyal, Michigan Technological University, MI, USA

Jinyu Wen, Huazhong University of Science and Technology, China

James Cale, National Renewable Energy Lab, CO, USA

Yuhong Liu, Santa Clara University, CA, USA