IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm 2020)

Session Opening-remarks-1: Opening Remarks Session Keynote-1: Keynote 1
Session A1: Analytics 1: Data Analytics for Demand Management and Grid Operations Session N1: Networking 1: Communications for Planning and Situational Awareness Session S1: Security 1: False Data Injection Session C1: Control 1: Learning from Data Session IS-1: Invited 1: Energy Consumption Session S2: Security 2: Smart Meter Data and Privacy Session IS-2: Invited 2: Grid Resilience Session WAEG1: Workshop on Autonomous Energy Grid: A Distributed Optimization and Control Perspective 1 Session WMLPTS: Workshop on Machine Learning and Big Data Analytics in Power Transmission Systems

Keynote Talks

Session Opening-remarks-1

Opening Remarks

Conference
2:00 PM — 2:10 PM UTC
Local
Nov 11 Wed, 8:00 AM — 8:10 AM CST
Session Chair

Lalitha Sankar (ASU) & Rakesh Bobba (Oregon State Univ.) <br> Zoom Room Host(s): Raksha Ramakrishna (KTH), Arka Sanka (UT Austin)

Session Keynote-1

Keynote 1

Conference
2:10 PM — 3:00 PM UTC
Local
Nov 11 Wed, 8:10 AM — 9:00 AM CST

High-Fidelity and High-Resolution Monitoring of Smart Grids

Lang Tong (Cornell)

3
We consider the problem of monitoring of power systems that exhibit a high degree of stochasticity but have limited direct measurements.  Examples of such systems include distribution grids that have substantial inverter-based resources with limited PMU and SCADA deployment. To achieve high-fidelity and high-resolution monitoring, we bring to bear key concepts in statistical signal processing, communications, and modern machine learning tools.  In particular, we discuss how Bayesian inference and deep learning can be used to overcome system unobservability for state estimation, how property test coupled with innovation convolution neural network can be used to detect bad and malicious data, and how subband coding methods can be applied to achieve ultra-high data rate point-on-waveform measurements.
Session Chair

Lalitha Sankar (ASU) <br> Zoom Room Host(s): Raksha Ramakrishna (KTH), Arka Sanka (UT Austin)

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