2 citations · 3 across the 7 of their papers we have counts for
10 papers · 1 filter
Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach
Ali Hassan, Deepjyoti Deka, Yury Dvorkin
Demand response (DR) programs engage distributed demand-side resources, e.g., controllable residential and commercial loads, in providing ancillary services for electric power syst…
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…
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…