no code implementations • 25 Aug 2020 • Iman Niazazari, Hanif Livani, Amir Ghasemkhani, Yunchuan Liu, Lei Yang
This paper presents a machine learning method for event cause analysis to enhance situational awareness in distribution networks.
no code implementations • 24 Aug 2020 • Iman Niazazari, Amir Ghasemkhani, Yunchuan Liu, Shuchismita Biswas, Hanif Livani, Lei Yang, Virgilio Centeno
This paper presents a wide-area event classification in transmission power grids.
no code implementations • 19 Nov 2019 • Iman Niazazari, Hanif Livani
With the ever-increasing reliance on data for data-driven applications in power grids, such as event cause analysis, the authenticity of data streams has become crucially important.
no code implementations • 10 Mar 2019 • Iman Niazazari, Reza Jalilzadeh Hamidi, Hanif Livani, Reza Arghandeh
This paper presents a spatiotemporal unsupervised feature learning method for cause identification of electromagnetic transient events (EMTE) in power grids.
no code implementations • 20 Mar 2017 • Iman Niazazari, Hanif Livani
Preventive maintenance provides wide range of benefits in terms of time, avoiding unexpected outages, maintenance crew utilization, and equipment replacement cost.