6 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…
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…
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…
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…