Prediction and assessment of demand response potential with coupon incentives in highly renewable power systems

H Ming, B Xia, KY Lee, A Adepoju… - … and control of …, 2020 - ieeexplore.ieee.org
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 …

Incentivizing sharing in realtime D2D streaming networks: A mean field game perspective

J Li, R Bhattacharyya, S Paul… - IEEE/ACM …, 2016 - ieeexplore.ieee.org
We consider the problem of streaming live content to a cluster of co-located wireless devices
that have both an expensive unicast base-station-to-device (B2D) interface, as well as an …

Coupon-based demand response for consumers facing flat-rate retail pricing

H Hui, Y Ding, K Luan, T Chen, Y Song… - CSEE Journal of …, 2023 - ieeexplore.ieee.org
Even though smart meters have been widely used in power systems around the world, many
consumers are still hard to participate in demand response (DR) due to the flat-rate retail …

A hierarchical approach to multienergy demand response: From electricity to multienergy applications

A Hassan, S Acharya, M Chertkov… - Proceedings of the …, 2020 - ieeexplore.ieee.org
Due to proliferation of energy efficiency measures and availability of the renewable energy
resources, traditional energy infrastructure systems (electricity, heat, gas) can no longer be …

Energycoupon: A case study on incentive-based demand response in smart grid

B Xia, H Ming, KY Lee, Y Li, Y Zhou, S Bansal… - Proceedings of the …, 2017 - dl.acm.org
In competitive electricity market systems such as Texas, Load Serving Entities (LSEs)
purchase energy in a wholesale market and then sell it in a retail market. In wholesale …

Multi-agent learning via markov potential games in marketplaces for distributed energy resources

D Narasimha, K Lee, D Kalathil… - 2022 IEEE 61st …, 2022 - ieeexplore.ieee.org
Much change is happening in electricity markets due to the entrance of small-scale
prosumers that both generate and consume electricity. Both large and small consumers can …

Mean field games in nudge systems for societal networks

J Li, B Xia, X Geng, H Ming, S Shakkottai… - ACM Transactions on …, 2018 - dl.acm.org
We consider the general problem of resource sharing in societal networks, consisting of
interconnected communication, transportation, energy, and other networks important to the …

Reinforcement learning for mean-field game

M Agarwal, V Aggarwal, A Ghosh, N Tiwari - Algorithms, 2022 - mdpi.com
Stochastic games provide a framework for interactions among multiple agents and enable a
myriad of applications. In these games, agents decide on actions simultaneously. After …

OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation

R El Helou, K Lee, D Wu, L Xie… - … on Smart Grid, 2022 - ieeexplore.ieee.org
This paper presents OpenGridGym, an open-source Python-based package that allows for
seamless integration of distribution market simulation with state-of-the-art artificial …

Modélisation et optimisation de l'interaction entre véhicules électriques et réseaux d'électricité: apport de la théorie des jeux

O Beaude - 2015 - theses.hal.science
Cette thèse étudie l'interaction technico-économique entre véhicules électriques et réseaux
d'électricité. Le développement récent de la mobilité électrique invite en effet à analyser les …