IEEE CIS Task Force on Smart Grid

Scope

The IEEE CIS Task Force on "Smart Grid" aims to advance research, development, and practical applications of computational intelligence (CI) techniques—including neural networks, fuzzy systems, evolutionary computation, and machine learning—to address critical challenges in the smart grid.

By fostering collaboration among researchers, industry professionals, and policymakers, this Task Force seeks to bridge the gap between theoretical advancements and real-world implementations in smart grid modelling, optimization, control, security, and resilience.

By leveraging advancements in CI subfields, this task force focuses on some key areas, including Intelligent Monitoring & Diagnostics, Optimization & Decision-Making, Grid Resilience & Security, Renewable Integration & Microgrids, and Human-Centric Smart Grids.

This scope aligns with IEEE CIS's mission to promote CI for complex, data-rich engineering systems while addressing the urgent needs of sustainable and adaptive power grids.