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20122026
most citedQuantifying Market Efficiency Impacts of Aggregated Distributed Energy Resources

28 citations · 83 across the 29 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

eess.SY2025

Pricing Problems in Adoption of New Technologies

Yijin Wang, Subhonmesh Bose

We propose a generalization of the Bass diffusion model in discrete-time that explicitly models the effect of price in adoption. Our model is different from earlier price-incorpora…

cs.GT2025

Harnessing Information in Incentive Design

Raj Kiriti Velicheti, Subhonmesh Bose, Tamer Başar

Incentive design deals with interaction between a principal and an agent where the former can shape the latter's utility through a policy commitment. It is well known that the prin…

eess.SY2025

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,…

stat.ML2025

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…

cs.LG2025

DAL: A Practical Prior-Free Black-Box Framework for Piecewise Stationary Bandits

Argyrios Gerogiannis, Yu-Han Huang, Subhonmesh Bose +1

We introduce a practical, black-box framework termed Detection Augmented Learning (DAL) for the problem of piecewise stationary bandits without knowledge of the underlying non-stat…

cs.AI2025

Detection Augmented Bandit Procedures for Piecewise Stationary MABs: A Modular Approach

Yu-Han Huang, Argyrios Gerogiannis, Subhonmesh Bose +1

Conventional Multi-Armed Bandit (MAB) algorithms are designed for stationary environments, where the reward distributions associated with the arms do not change with time. In many…