Sampling of power system graph signals
MA Hasnat, M Rahnamay-Naeini - 2021 IEEE PES Innovative …, 2021 - ieeexplore.ieee.org
While sampling in classical signal processing is well-developed and studied, sampling in
the Graph Signal Processing framework and its application domains are fairly new. In this …
the Graph Signal Processing framework and its application domains are fairly new. In this …
Graph Signal Denoising in Power Systems and its Effects on GSP-Based State Estimation
S Biswas, M Naeini - 2024 56th North American Power …, 2024 - ieeexplore.ieee.org
Noise in measurement data is not a new challenge, but the rise of graph-aware data
processing tools, such as Graph Signal Processing (GSP), offers new opportunities to …
processing tools, such as Graph Signal Processing (GSP), offers new opportunities to …
Reflection of cyber and physical stresses in smart grids on their graph signals
MA Hasnat, M Rahnamay–Naeini - 2021 IEEE PES Innovative …, 2021 - ieeexplore.ieee.org
Graph signal processing has been shown to provide a unique platform and new perspective
for representing and analyzing power system measurements. In this paper, the effects of …
for representing and analyzing power system measurements. In this paper, the effects of …
Enhancing Smart Grid Security and Reliability Through Graph Signal Processing and Energy Data Analytics
MA Hasnat - 2023 - search.proquest.com
Situational awareness in a large, dynamic, and complex cyber-physical critical infrastructure,
such as a smart grid, is vital for ensuring its smooth and uninterrupted operation. With the …
such as a smart grid, is vital for ensuring its smooth and uninterrupted operation. With the …