Results 21 to 30 of about 1,986 (212)
Designing an Incentive Contract Menu for Sustaining the Electricity Market
This paper designs an incentive contract menu to achieve long-term stability for electricity prices in a day-ahead electricity market. A bi-level Stackelberg game model is proposed to search for the optimal incentive mechanism under a one-leader and ...
Ying Yu, Tongdan Jin, Chunjie Zhong
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Asymmetrically dominated choice problems, the isolation hypothesis and random incentive mechanisms. [PDF]
This paper presents an experimental study of the random incentive mechanisms which are a standard procedure in economic and psychological experiments. Random incentive mechanisms have several advantages but are incentive-compatible only if responses to ...
James C Cox +2 more
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Research on Distributed Incentive Architecture Based on Blockchain
In order to solve the problem of authority deception or lacking of trust in the incentive mechanisms, the blockchain technology is used due to its decentralization, openness, immutable and anonymity.
Yunhua HE +5 more
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Demand-side energy storage is an important foundation for enhancing load flexibility to accommodate renewable energy. With the widespread adoption of renewable energy, demand-side energy storage planning, and its incentive mechanism have also attracted ...
Jieran Feng +5 more
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Construction is one of the most dangerous industries because of its open working environment and risky construction conditions. In the process of construction, risk events cause great losses for owners and workers.
Jianbo Zhu +5 more
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The decarbonization of the power system forces the rapid development of electric energy storage (EES). Electricity consumption is the fundamental driving force of carbon emissions in the power system.
Jieran Feng, Hao Zhou
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Incentive mechanism for sharing distributed energy resources
To improve the controllability and utilization of distributed energy resources (DERs), distribution-level electricity markets based on consumers' bids and offers have been proposed.
Jianxiao Wang +6 more
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Federated Learning Incentive Mechanism Design via Shapley Value and Pareto Optimality
Federated learning (FL) is a distributed machine learning framework that can effectively help multiple players to use data to train federated models while complying with their privacy, data security, and government regulations.
Xun Yang +6 more
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Incentive mechanism enables efficient fog network
In order to improve the resource utilization and service quality of the fog network,as well as ensure the reliability and security of heterogeneous fog nodes,a reasonable incentive mechanism was required.The introduction of incentive mechanism can ...
Beibei WANG +4 more
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Incentive mechanisms in peer-to-peer networks [PDF]
In the last few years, peer-to-peer systems became well known to the general public by allowing fast and simple exchange of resources between users. The complexity of these systems resides in the absence of a central authority and the fact that each user can act both as a client and as a server.
Pedro D. Rodrigues +2 more
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