3 citations · 6 across the 5 of their papers we have counts for
5 papers
Robust Event Classification Using Imperfect Real-world PMU Data
Yunchuan Liu, Lei Yang, Amir Ghasemkhani +4
This paper studies robust event classification using imperfect real-world phasor measurement unit (PMU) data. By analyzing the real-world PMU data, we find it is challenging to dir…
Event Cause Analysis in Distribution Networks using Synchro Waveform Measurements
Iman Niazazari, Hanif Livani, Amir Ghasemkhani +2
This paper presents a machine learning method for event cause analysis to enhance situational awareness in distribution networks. The data streams are captured using time-synchroni…
Deep Neural Network based Wide-Area Event Classification in Power Systems
Iman Niazazari, Amir Ghasemkhani, Yunchuan Liu +4
This paper presents a wide-area event classification in transmission power grids. The deep neural network (DNN) based classifier is developed based on the availability of data from…
Decentralized Dynamic State Estimation with Bimodal Gaussian Mixture Measurement Noise
Vahid Sarfi, Amir Ghasemkhani, Iman Niazazari +2
This paper proposes a decentralized dynamic state estimation (DSE) algorithm with bimodal Gaussian mixture measurement noise. The decentralized DSE is formulated using the Ensemble…
Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning
Mohammad Jafari, Vahid Sarfi, Amir Ghasemkhani +3
In this paper, a biologically-inspired adaptive intelligent secondary controller is developed for microgrids to tackle system dynamics uncertainties, faults, and/or disturbances. T…