CIASG 2016 - 2016 IEEE Symposium on Computational Intelligence Applications in Smart Grid (IEEE CIASG'16)
Topics/Call fo Papers
Computational Intelligence (CI) evolves computational models and tools of intelligence capable of handling large raw numerical sensory data directly, processing them by exploiting the representational parallelism and pipelining the problem, generating reliable and just-in-time responses, and having high fault tolerance. Smart grid is basically the embedding of intelligence to enable bidirectional power flows with traditional sources of power generation, renewable sources and energy storage. CI deployment is essential in smart grid to make it a success. Research and deployment of smart grid technologies are being promoted by governments of many countries as a way of addressing energy independence, emission reductions, and bringing resilience to electricity infrastructures. The Symposium on CI Applications in Smart Grid (CIASG) aims at bringing researchers and engineers from academia and industry together to present, interact and review the latest progresses in this emerging field, and to explore future research directions to address its challenges.
Topics
CIASG invites authors to submit their original and unpublished work in the applications of CI to Smart Grid, including the following, but not limited to:
Algorithms for modeling, control and optimization
Communication and control
Cyber security
Demand side management
Distributed energy resources
Dynamic equivalents
Emissions
FACTS
Markets and economics
Methods and algorithms for real-time analysis
Optimization
Planning, operation and control
Plug-in vehicles
Renewable energy
Smart micro-grids
Smart grid education
Smart sensing
Synchrophasors
Wide area monitoring, control and protection
Visualizations for control centers
Organiser
G.K Venayagamoorthy
Clemson University, USA. Email:gvenaya-AT-clemson.edu
Topics
CIASG invites authors to submit their original and unpublished work in the applications of CI to Smart Grid, including the following, but not limited to:
Algorithms for modeling, control and optimization
Communication and control
Cyber security
Demand side management
Distributed energy resources
Dynamic equivalents
Emissions
FACTS
Markets and economics
Methods and algorithms for real-time analysis
Optimization
Planning, operation and control
Plug-in vehicles
Renewable energy
Smart micro-grids
Smart grid education
Smart sensing
Synchrophasors
Wide area monitoring, control and protection
Visualizations for control centers
Organiser
G.K Venayagamoorthy
Clemson University, USA. Email:gvenaya-AT-clemson.edu
Other CFPs
- 2016 IEEE Symposium on Computational Intelligence in Big Data (IEEE CIBD'16)
- IEEE Symposium on Computational Intelligence in Control and Automation (CICA 2016)
- 2016 IEEE Symposium on Computational Intelligence in Healthcare and e-health
- 2016 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (IEEE CIDUE'2016)
- IEEE Symposium on Computational Intelligence in E-Government (IEEE CIEG'16)
Last modified: 2016-01-11 21:35:49