4 citations · 5 across the 6 of their papers we have counts for
5 papers · 1 filter
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…
Cause Identification of Electromagnetic Transient Events using Spatiotemporal Feature Learning
Iman Niazazari, Reza Jalilzadeh Hamidi, Hanif Livani +1
This paper presents a spatiotemporal unsupervised feature learning method for cause identification of electromagnetic transient events (EMTE) in power grids. The proposed method is…
Anomaly Classification in Distribution Networks Using a Quotient Gradient System
Hamid Khodabandehlou, Iman Niazazari, Hanif Livani +1
The classification of anomalies or sudden changes in power networks versus normal abrupt changes or switching actions is essential to take appropriate maintenance actions that guar…