1 citations · 4 across the 15 of their papers we have counts for
15 papers
Risk-Aware Hosting Capacity Analysis for Flexible Load Interconnection in Distribution Networks
Gobinda Chandra Sarker, Nathan Dahlin
The increasing penetration of flexible loads, such as electric vehicles and AI data-centers necessitates new methodologies for quantifying electrical load hosting capacity under op…
Sustainable Grid through Distributed Data Centers: Spinning AI Demand for Grid Stabilization and Optimization
Scott C Evans, Nathan Dahlin, Ibrahima Ndiaye +4
We propose a disruptive paradigm to actively place and schedule TWhrs of parallel AI jobs strategically on the grid, at distributed, grid-aware high performance compute data center…
Risk-Sensitive Security-Constrained Economic Dispatch: Pricing and Algorithm Design
Avinash N. Madavan, Nathan Dahlin, Subhonmesh Bose +1
We propose a risk-sensitive security-constrained economic dispatch (R-SCED) formulation capturing the tradeoff between dispatch cost and resilience against potential line failures,…
Nonparametric Sparse Online Learning of the Koopman Operator
Boya Hou, Sina Sanjari, Nathan Dahlin +2
The Koopman operator provides a powerful framework for representing the dynamics of general nonlinear dynamical systems. Data-driven techniques to learn the Koopman operator typica…
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning
Rishabh Agrawal, Nathan Dahlin, Rahul Jain +1
Imitation learning (IL) is notably effective for robotic tasks where directly programming behaviors or defining optimal control costs is challenging. In this work, we address a sce…
Nonparametric Sparse Online Learning of the Koopman Operator
Boya Hou, Sina Sanjari, Nathan Dahlin +2
The Koopman operator provides a powerful framework for representing the dynamics of general nonlinear dynamical systems. However, existing data-driven approaches to learning the Ko…
Conditional Kernel Imitation Learning for Continuous State Environments
Rishabh Agrawal, Nathan Dahlin, Rahul Jain +1
Imitation Learning (IL) is an important paradigm within the broader reinforcement learning (RL) methodology. Unlike most of RL, it does not assume availability of reward-feedback.…
Equivalent and Compact Representations of Neural Network Controllers With Decision Trees
Kevin Chang, Nathan Dahlin, Rahul Jain +1
Over the past decade, neural network (NN)-based controllers have demonstrated remarkable efficacy in a variety of decision-making tasks. However, their black-box nature and the ris…
Controlling a Markov Decision Process with an Abrupt Change in the Transition Kernel
Nathan Dahlin, Subhonmesh Bose, Venugopal V. Veeravalli
We consider the control of a Markov decision process (MDP) that undergoes an abrupt change in its transition kernel (mode). We formulate the problem of minimizing regret under cont…
Conditional Value at Risk-Sensitive Solar Hosting Capacity Analysis in Distribution Networks
Avinash N. Madavan, Nathan Dahlin, Subhonmesh Bose +1
Solar hosting capacity analysis (HCA) assesses the ability of a distribution network to host distributed solar generation without seriously violating distribution network constrain…
Designing Interpretable Approximations to Deep Reinforcement Learning
Nathan Dahlin, Krishna Chaitanya Kalagarla, Nikhil Naik +2
In an ever expanding set of research and application areas, deep neural networks (DNNs) set the bar for algorithm performance. However, depending upon additional constraints such a…
A Risk Aware Two-Stage Market Mechanism for Electricity with Renewable Generation
Nathan Dahlin, Rahul Jain
Over the last few decades, electricity markets around the world have adopted multi-settlement structures, allowing for balancing of supply and demand as more accurate forecast info…
Scheduling Flexible Non-Preemptive Loads in Smart-Grid Networks
Nathan Dahlin, Rahul Jain
A market consisting of a generator with thermal and renewable generation capability, a set of non-preemptive loads (i.e., loads which cannot be interrupted once started), and an in…
Two-Stage Electricity Markets with Renewable Energy Integration: Market Mechanisms and Equilibrium Analysis
Nathan Dahlin, Rahul Jain
We consider a two-stage market mechanism for trading electricity including renewable generation as an alternative to the widely used multi-settlement market structure. The two-stag…
A Two Stage Mechanism For Selling Random Power
Nathan Dahlin, Rahul Jain
We present a two stage auction mechanism that renewable generators (or aggregators) could use to allocate renewable energy among LSEs. The auction is conducted day- ahead. LSEs sub…