Results 21 to 30 of about 120,872 (303)

Efficient bidding strategies for Cliff-Edge problems [PDF]

Autonomous Agents and Multi-Agent Systems, 2013
In this paper, we propose an efficient agent for competing in Cliff-Edge (CE) and simultaneous Cliff-Edge (SCE) situations. In CE interactions, which include common interactions such as sealed-bid auctions, dynamic pricing and the ultimatum game (UG), the probability of success decreases monotonically as the reward for success increases. This trade-off
Azoulay, Rina, Katz, Ron, Kraus, Sarit
openaire   +1 more source

Optimal Electricity Allocation Model Under China's Planning-Market Double-Track Mechanism Considering Bidding Game of Generation Companies

Frontiers in Energy Research, 2021
In China, under the planning-market double-track mechanism implemented on the generation side of electricity, unreasonable market-oriented power generation proportion may lead to unnecessary vicious competition and market price changes, and it is against
Jinrui Cui, Jinrui Cui, Yating Li, Chuan He, Chuan He, Zhi Zhang, Haichao Wang, Haichao Wang, Jiajun Tang, Yongbo Li, Yongbo Li, Hualin Cai, Zhenzhi Lin, Zhenzhi Lin, Li Yang   +14 more
doaj   +1 more source

A deep reinforcement learning-based bidding strategy for participants in a peer-to-peer energy trading scenario

Frontiers in Energy Research, 2023
An efficient energy trading strategy is proven to have a vital role in reducing participants’ payment in the energy trading process of the power grid, which can greatly improve the operation efficiency of the power grid and the willingness of ...
Feiye Zhang, Qingyu Yang, Donghe Li
doaj   +1 more source

Optimal Bidding Strategy without Exploration in Real-time Bidding [PDF]

, 2020
Maximizing utility with a budget constraint is the primary goal for advertisers in real-time bidding (RTB) systems. The policy maximizing the utility is referred to as the optimal bidding strategy. Earlier works on optimal bidding strategy apply model-based batch reinforcement learning methods which can not generalize to unknown budget and time ...
Ghosh, Aritra, Mitra, Saayan, Sarkhel, Somdeb, Swaminathan, Viswanathan   +3 more
openaire   +2 more sources

An Options-Based Method to Solve the Composability Problem in Sequential Auctions [PDF]

, 2010
Current auctions often expose bidding agents to two difficult, yet common, problems. First, bidding agents often have the opportunity to participate in successive auctions selling the same good, with no dominant bidding strategy in any single auction ...
Juda, Adam I., Parkes, David C.
core   +1 more source

Bidding Strategy for Aggregators of Electric Vehicles in Day-Ahead Electricity Markets

Energies, 2017
To make full use of the flexible charging and discharging capabilities of the growing number of electric vehicles (EVs), a bidding strategy for EV aggregators to participate in a day-ahead electricity energy market is proposed in this work.
Yunpeng Guo, Weijia Liu, Fushuan Wen, Abdus Salam, Jianwei Mao, Liang Li   +5 more
doaj   +1 more source

Imagine and Imitate: Cost-Effective Bidding under Partially Observable Price Landscapes

Big Data and Cognitive Computing
Real-time bidding has become a major means for online advertisement exchange. The goal of a real-time bidding strategy is to maximize the benefits for stakeholders, e.g., click-through rates or conversion rates.
Xiaotong Luo, Yongjian Chen, Shengda Zhuo, Jie Lu, Ziyang Chen, Lichun Li, Jingyan Tian, Xiaotong Ye, Yin Tang   +8 more
doaj   +1 more source

Optimal bidding strategy with the inclusion of wind power supplier in an emerging power market

IET Generation, Transmission & Distribution, 2019
In polistic electricity market structure, each power producers can maximise its profit through bidding strategy. Also, with the advent of renewable generation mostly wind has shaped a new prospect in the bidding process.
Satyendra Singh, Manoj Fozdar
doaj   +1 more source

Modeling for wind-thermal combined bidding considering bilateral tail information

Energy Reports, 2023
The stochastic output of wind power will lead to the penalty of bidding deviation in the spot market and bring bidding risk, restricting the participation of wind power in market competition.
Feixiang Peng, Jun Tao, Huaying Zhang
doaj   +1 more source

Study on the Dynamic Evolution of Transverse Collusive Bidding Behavior and Regulation Countermeasures Under the “Machine-Managed Bidding” System

Buildings
The Machine-Managed Bidding (MMB) system is an innovative bidding mode implemented by the Chinese government to mitigate collusive bidding behavior. Prior studies have focused minimally on the bidding mechanism and the possible collusive bidding behavior
Zongyuan Zhang, Jincan Liu, Zhitian Zhang, Bin Chen   +3 more
doaj   +1 more source