145 citations · 441 across the 37 of their papers we have counts for
11 papers · 1 filter
Flattening the Duck Curve: A Case for Distributed Decision Making
Rabab Haider, Giulio Ferro, Michela Robba +1
The large penetration of renewable resources has resulted in rapidly changing net loads, resulting in the characteristic "duck curve". The resulting ramping requirements of bulk sy…
A Hierarchical Local Electricity Market for a DER-rich Grid Edge
Vineet Jagadeesan Nair, Venkatesh Venkataramanan, Rabab Haider +1
With increasing penetration of DERs in the distribution system, it is critical to design market structures that enable smooth integration of DERs. A hierarchical local electricity…
A Reactive Power Market for the Future Grid
Adam Potter, Rabab Haider, Giulio Ferro +2
As pressures to decarbonize the electricity grid increase, the grid edge is witnessing a rapid adoption of distributed and renewable generation. As a result, traditional methods fo…
A Historical Perspective of Adaptive Control and Learning
Anuradha M. Annaswamy, Alexander L. Fradkov
This article provides a historical perspective of the field of adaptive control over the past seven decades and its intersection with learning. A chronology of key events over this…
DER Forecast using Privacy Preserving Federated Learning
Venkatesh Venkataramanan, Sridevi Kaza, Anuradha M. Annaswamy
With increasing penetration of Distributed Energy Resources (DERs) in grid edge including renewable generation, flexible loads, and storage, accurate prediction of distributed gene…
Online Algorithms and Policies Using Adaptive and Machine Learning Approaches
Anuradha M. Annaswamy, Anubhav Guha, Yingnan Cui +3
This paper considers the problem of real-time control and learning in dynamic systems subjected to parametric uncertainties. We propose a combination of a Reinforcement Learning (R…
Sensitivity Analysis of Passenger Behavioral Model for Dynamic Pricing of Shared Mobility on Demand
Vineet Jagadeesan Nair, Yue Guan, Anuradha M. Annaswamy +2
This paper provides a framework to quantify the sensitivity associated with behavioral models based on Cumulative Prospect Theory (CPT). These are used to design dynamic pricing st…
Online Policies for Real-Time Control Using MRAC-RL
Anubhav Guha, Anuradha Annaswamy
In this paper, we propose the Model Reference Adaptive Control & Reinforcement Learning (MRAC-RL) approach to developing online policies for systems in which modeling errors occur…
A High-order Tuner for Accelerated Learning and Control
Spencer McDonald, Yingnan Cui, Joseph E. Gaudio +1
Gradient-descent based iterative algorithms pervade a variety of problems in estimation, prediction, learning, control, and optimization. Recently iterative algorithms based on hig…
New Algorithms for Discrete-Time Parameter Estimation
Yingnan Cui, Joseph E. Gaudio, Anuradha M. Annaswamy
We propose two algorithms for discrete-time parameter estimation, one for time-varying parameters under persistent excitation (PE) condition, another for constant parameters under…
Reinventing the Utility for DERs: A Proposal for a DSO-Centric Retail Electricity Market
Rabab Haider, David D'Achiardi, Venkatesh Venkataramanan +3
The increasing penetration of intermittent renewables, storage devices, and flexible loads is introducing operational challenges in distribution grids. The proper coordination and…