2 citations · 3 across the 7 of their papers we have counts for
7 papers · 1 filter
Topology Learning in Radial Dynamical Systems with Unreliable Data
Venkat Ram Subramanian, Deepjyoti Deka, Saurav Talukdar +2
Many complex engineering systems admit bidirectional and linear couplings between their agents. Blind and passive methods to identify such influence pathways/couplings from data ar…
Physics-Informed Learning for High Impedance Faults Detection
Wenting Li, Deepjyoti Deka
High impedance faults (HIFs) in distribution grids may cause wildfires and threaten human lives. Conventional protection relays at substations fail to detect more than 10\% HIFs si…
Guaranteed Phase & Topology Identification in Three Phase Distribution Grids
Mohini Bariya, Deepjyoti Deka, Alexandra von Meier
We present a method for joint phase identification and topology recovery in unbalanced three phase radial networks using only voltage measurements. By recovering phases and topolog…
A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications
Ali Hassan, Samrat Acharya, Michael Chertkov +2
Due to proliferation of energy efficiency measures and availability of the renewable energy resources, traditional energy infrastructure systems (electricity, heat, gas) can no lon…
Tractable learning in under-excited power grids
Deepjyoti Deka, Harish Doddi, Sidhant Misra +1
Estimating the structure of physical flow networks such as power grids is critical to secure delivery of energy. This paper discusses statistical structure estimation in power grid…
Data-Driven Learning and Load Ensemble Control
Ali Hassan, Deepjyoti Deka, Michael Chertkov +1
Demand response (DR) programs aim to engage distributed small-scale flexible loads, such as thermostatically controllable loads (TCLs), to provide various grid support services. Li…