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In this paper, we introduce the third party to achieve the Stackelberg equilibrium with the time inconsistency in three different Stackelberg games, which are the discrete-time games, the dynamic games, and the mean field games. Here all…

Optimization and Control · Mathematics 2024-07-29 Yiming Jiang , Yawei Wei , Jie Xue

The proliferation of behind-the-meter (BTM) distributed energy resources (DER) within the electrical distribution network presents significant supply and demand flexibilities, but also introduces operational challenges such as voltage…

Systems and Control · Electrical Eng. & Systems 2024-09-13 Ahmed S. Alahmed , Guido Cavraro , Andrey Bernstein , Lang Tong

In the restructured electricity industry, electricity pooling markets are an oligopoly with strategic producers possessing private information (private production cost function). We focus on pooling markets where aggregate demand is…

Computer Science and Game Theory · Computer Science 2014-10-07 Mohammad Rasouli , Demosthenis Teneketzis

In the restructured electricity industry, electricity pooling markets are an oligopoly with strategic producers possessing private information (private production cost function). We focus on pooling markets where aggregate demand is…

Computer Science and Game Theory · Computer Science 2014-01-20 Mohammad Rasouli , Demosthenis Teneketzis

This paper aims to balance performance and cost in a two-hop wireless cooperative communication network where the source and relays have contradictory optimization goals and make decisions in a distributed manner. This differs from most…

Systems and Control · Electrical Eng. & Systems 2024-06-18 Yuanzhe Geng , Erwu Liu , Wei Ni , Rui Wang , Yan Liu , Hao Xu , Chen Cai , Abbas Jamalipour

In this paper, the interactions and energy exchange decisions of a number of geographically distributed storage units are studied under decision-making involving end-users. In particular, a noncooperative game is formulated between…

Computer Science and Game Theory · Computer Science 2014-03-06 Yunpeng Wang , Walid Saad , Narayan B. Mandayam , H. Vincent Poor

This paper deals with the market-bidding problem of a cluster of price-responsive consumers of electricity. We develop an inverse optimization scheme that, recast as a bilevel programming problem, uses price-consumption data to estimate the…

Optimization and Control · Mathematics 2015-11-04 Javier Saez-Gallego , Juan M. Morales , Marco Zugno , Henrik Madsen

The integration of distributed energy resources into transmission grid operations presents a complex challenge, particularly in the context of reactive power procurement for voltage support. This paper addresses this challenge by…

Optimization and Control · Mathematics 2025-08-13 Zhisen Jiang , Saverio Bolognani , Giuseppe Belgioioso

In this paper, we first consider a pinning node selection and control gain co-design problem for complex networks. A necessary and sufficient condition for the synchronization of the pinning controlled networks at a homogeneous state is…

Systems and Control · Electrical Eng. & Systems 2019-09-04 Yuzhe Li , Dawei Shi , Tongwen Chen

Global warming is endangering the earth's ecosystem. It is imperative for us to limit green house gas emissions in order to combat rising global average temperatures. One way to move forward is the integration of renewable energy resources…

Signal Processing · Electrical Eng. & Systems 2019-05-14 Matthias Pilz , Luluwah Al-Fagih

The main goal of a sequential two-stage electricity market -- e.g., day-ahead and real-time markets -- is to operate efficiently. However, the price difference across stages due to inadequate competition and unforeseen circumstances leads…

Optimization and Control · Mathematics 2023-09-19 Rajni Kant Bansal , Yue Chen , Pengcheng You , Enrique Mallada

For a simple model of price-responsive demand, we consider a deregulated electricity marketplace wherein the grid (ISO, retailer-distributor) accepts bids per-unit supply from generators (simplified herein neither to consider…

Computer Science and Game Theory · Computer Science 2014-08-29 Yuquan Shan , Jayaram Raghuram , George Kesidis , Christopher Griffin , Karl Levitt , David J. Miller , Jeffry Rowe , Anna Scaglione

Recent scholarly work has extensively examined the phenomenon of algorithmic collusion driven by AI-enabled pricing algorithms. However, online platforms commonly deploy recommender systems that influence how consumers discover and purchase…

Artificial Intelligence · Computer Science 2024-12-17 Xingchen Xu , Stephanie Lee , Yong Tan

In this paper a unifying energy-based approach is provided to the modeling and stability analysis of power systems coupled with market dynamics. We consider a standard model of the power network with a third-order model for the synchronous…

Optimization and Control · Mathematics 2016-07-28 Tjerk Stegink , Claudio De Persis , Arjan van der Schaft

We propose a mean field game (MFG) framework to model the evolution of renewable energy production in competitive electricity markets. Producers interact through the spot price while optimising their profits under production, installation,…

Optimization and Control · Mathematics 2026-03-25 Luciano Campi , Zhuoshu Wu

The mining process in blockchain requires solving a proof-of-work puzzle, which is resource expensive to implement in mobile devices due to the high computing power and energy needed. In this paper, we, for the first time, consider edge…

Cryptography and Security · Computer Science 2018-11-20 Zehui Xiong , Shaohan Feng , Wenbo Wang , Dusit Niyato , Ping Wang , Zhu Han

Multi-agent systems (MAS) are increasingly applied to complex task allocation in two-sided markets, where agents such as companies and customers interact dynamically. Traditional company-led Stackelberg game models, where companies set…

Computer Science and Game Theory · Computer Science 2025-01-24 Jianglin Qiao , Zehong Cao , Dave de Jonge , Ryszard Kowalczyk

In this paper, we study how datacenter energy cost can be effectively reduced in the wholesale electricity market via cooperative power procurement. Intuitively, by aggregating workloads and renewables across a group of datacenters, the…

Computer Science and Game Theory · Computer Science 2017-10-11 Zhe Yu , Yuanxiong Guo , Miao Pan , Yanmin Gong

In this paper, we study the transmission strategy adaptation problem in an RF-powered cognitive radio network, in which hybrid secondary users are able to switch between the harvest-then-transmit mode and the ambient backscatter mode for…

Networking and Internet Architecture · Computer Science 2018-04-10 Wenbo Wang , Dinh Thai Hoang , Dusit Niyato , Ping Wang , Dong In Kim

This paper considers the problem of how to allocate power among competing users sharing a frequency-selective interference channel. We model the interaction between selfish users as a non-cooperative game. As opposed to the existing…

Computer Science and Game Theory · Computer Science 2008-12-16 Yi Su , Mihaela van der Schaar
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