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Advanced Search Results For "BIDDING strategies"

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 "BIDDING strategies"
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An iterative combinatorial auction mechanism for multi-agent parallel machine scheduling.

Publication Type: Academic Journal

Source(s): International Journal of Production Research. Jan2022, Vol. 60 Issue 1, p361-380. 20p. 3 Diagrams, 7 Charts, 3 Graphs.

Abstract: This paper focuses on the multi-agent parallel machines scheduling problem with consumer agents and resource agents. Within the context, all the agents are self-interested aiming at maximising their profits, and have private information, precluding the...

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A hierarchical approach for P2P energy trading considering community energy storage and PV‐enriched system operator.

Publication Type: Academic Journal

Source(s): IET Generation, Transmission & Distribution (Wiley-Blackwell). Dec2022, Vol. 16 Issue 23, p4738-4749. 12p.

Abstract: The requirements to reduce dependence on fossil fuels and minimize harmful emissions necessitate using renewable energy more effectively. In this regard, a Peer‐to‐Peer (P2P) energy trading market in which excess power is sold to neighbors is emerging ...

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A Near-Optimal Bidding Strategy for Real-Time Display Advertising Auctions.

Publication Type: Academic Journal

Source(s): Journal of Marketing Research (JMR). Feb2021, Vol. 58 Issue 1, p1-21. 21p. 1 Diagram, 5 Charts, 6 Graphs, 1 Map.

Abstract: This article introduces a near-optimal bidding algorithm for use in real-time display advertising auctions. These auctions constitute a dominant distribution channel for internet display advertising and a potential funding model for addressable media. ...

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A Multi-Agent Optimal Bidding Strategy in Multi-Operator VPPs Based on SGHSA.

Publication Type: Academic Journal

Source(s): International Transactions on Electrical Energy Systems. 10/20/2022, p1-13. 13p.

Abstract: As an individual plant participating in the power market, the virtual power plant (VPP) is regarded as the ultimate configuration of the energy Internet, and effective dispatching is a challenge. This paper proposes a multi-agent optimal bidding strate...

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Risk-Free Bidding in Complement-Free Combinatorial Auctions.

Publication Type: Academic Journal

Source(s): Theory of Computing Systems. Jun2022, Vol. 66 Issue 3, p581-615. 35p.

Abstract: We study risk-free bidding strategies in combinatorial auctions with incomplete information. Specifically, what is the maximum profit that a complement-free (subadditive) bidder can guarantee in a multi-item combinatorial auction? Suppose there are n b...

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A Data-Driven Convergence Bidding Strategy Based on Reverse Engineering of Market Participants’ Performance: A Case of California ISO.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Power Systems. May2022, Vol. 37 Issue 3, p2122-2136. 15p.

Abstract: Convergence bidding, a.k.a., virtual bidding, has been widely adopted in wholesale electricity markets in recent years. It provides opportunities for market participants to arbitrage on the difference between the day-ahead market locational marginal pr...

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Optimal Bidding Strategy of a Pumped Hydro Energy Storage Integrated Nuclear Power Plant considering Possible Outage.

Publication Type: Academic Journal

Source(s): International Transactions on Electrical Energy Systems. 9/13/2022, p1-11. 11p.

Abstract: Recently, harmful gases emitted into the atmosphere disrupt the balance of nature and cause climate changes. The tendency towards renewable energy is increasing in order to prevent climate change. The importance of the conventional power plants in the ...

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Actor-critic reinforcement learning for bidding in bilateral negotiation.

Publication Type: Academic Journal

Source(s): Turkish Journal of Electrical Engineering & Computer Sciences. 2022, Vol. 30 Issue 5, p1695-1714. 20p.

Abstract: Designing an effective and intelligent bidding strategy is one of the most compelling research challenges in automated negotiation, where software agents negotiate with each other to find a mutual agreement when there is a conflict of interests. Instea...

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Bid optimization using maximum entropy reinforcement learning.

Publication Type: Academic Journal

Source(s): Neurocomputing. Aug2022, Vol. 501, p529-543. 15p.

Abstract: Real-time bidding (RTB) has become a critical way for online advertising. It allows advertisers to display their ads by bidding on ad impressions. Therefore, advertisers in RTB always seek an optimal bidding strategy to improve their cost-efficiency. U...

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Classification model for bid/no‐bid decision in construction projects.

Publication Type: Academic Journal

Source(s): International Transactions in Operational Research. Mar2022, Vol. 29 Issue 2, p1025-1047. 23p. 1 Diagram, 8 Charts, 2 Graphs.

Abstract: For construction companies, the decision about whether to bid for a project is a strategic decision. This paper provides a model for assessing project attractiveness levels and deciding whether to submit a proposal. The model introduces a classificatio...

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