Prediction and assessment of demand response potential with coupon incentives in highly renewable power systems
Demand Response (DR) provides both operational and financial benefits to a variety of
stakeholders in the power system. For example, in the deregulated market operated by the …
stakeholders in the power system. For example, in the deregulated market operated by the …
Mean-field-type games in engineering
A mean-field-type game is a game in which the instantaneous payoffs and/or the state
dynamics functions involve not only the state and the action profile but also the joint …
dynamics functions involve not only the state and the action profile but also the joint …
Ensuring profitability of retailers via Shapley Value based demand response
Demand response (DR) program caters finance incentives to electricity users to reduce
demand in contingency. This paper has proposed a Shapley Value (SV) determined …
demand in contingency. This paper has proposed a Shapley Value (SV) determined …
Existence of optimal stationary singular controls and mean field game equilibria
A Cohen, C Sun - arxiv preprint arxiv:2404.07945, 2024 - arxiv.org
In this paper, we examine the stationary relaxed singular control problem within a multi-
dimensional framework for a single agent, as well as its Mean Field Game (MFG) equivalent …
dimensional framework for a single agent, as well as its Mean Field Game (MFG) equivalent …
The privacy paradox and optimal bias-variance trade-offs in data acquisition
While users claim to be concerned about privacy, often they do little to protect their privacy in
their online actions. One prominent explanation for this" privacy paradox" is that when an …
their online actions. One prominent explanation for this" privacy paradox" is that when an …
Reinforcement learning for mean field games with strategic complementarities
Abstract Mean Field Games (MFG) are the class of games with a very large number of
agents and the standard equilibrium concept is a Mean Field Equilibrium (MFE). Algorithms …
agents and the standard equilibrium concept is a Mean Field Equilibrium (MFE). Algorithms …
Small-scale markets for a bilateral energy sharing economy
Motivated by the ever-increasing installation of photovoltaics in homes and small
businesses, we consider a general small-scale market for agent-to-agent (energy) resource …
businesses, we consider a general small-scale market for agent-to-agent (energy) resource …
Pulsed Power Load Coordination in Mission-and Time-critical Cyber-physical Systems
Many mission-and time-critical cyber-physical systems deploy an isolated power system for
their power supply. Under extreme conditions, the power system must process critical …
their power supply. Under extreme conditions, the power system must process critical …
Large-time behaviour and the second eigenvalue problem for finite-state mean-field interacting particle systems
This article examines large-time behaviour of finite-state mean-field interacting particle
systems. Our first main result is a sharp estimate (in the exponential scale) of the time …
systems. Our first main result is a sharp estimate (in the exponential scale) of the time …
A mean field game approach to scheduling in cellular systems
M Manjrekar, V Ramaswamy, VR Raja… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
There has been much work done on designing cellular scheduling algorithms. These
algorithms are set up in the manner of a direct mechanism in which the queues reveal their …
algorithms are set up in the manner of a direct mechanism in which the queues reveal their …