Results 21 to 30 of about 4,391,403 (298)
IEEE Access, 2021 This paper presents a short-term decision-making model for an electricity retailer with battery energy storage system (BESS) and virtual bidding through a two-stage stochastic optimization framework. In the first stage, the retailer determines the amount
Josue Campos Do Prado, Ugonna Chikezie
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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 ...
Aritra Ghosh 0001 +3 more
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Visual Specification of Layered Bidding Strategies for Autonomous Bidding Agents [PDF]
Journal of Computers, 2010 In an agent-based online auction system, a bidding agent can automatically place bids on behalf of a human user according to a user-specified bidding strategy. Current implementations of bidding agents only support a set of simple predefined bidding strategies.
Benjamin J. Ford +3 more
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Proximal Policy Optimization-based Bidding Strategy for Thermal Power Generators Participating in Energy and Frequency Regulation Markets [PDF]
Dianli jianshe[Objective] With China’s ongoing electricity market reforms and the pursuit of carbon peaking and neutrality goals， renewable energy penetration in the power system is rapidly increasing.
ZHANG Bin, CAO Fan, XIAO Kun, SONG Yin, GUO Ying, YE Yujian, XU Dezhi
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Optimal Bidding Strategy for Brand Advertising [PDF]
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018 Brand advertising is a type of advertising that aims at increasing the awareness of companies or products. This type of advertising is well studied in economic, marketing, and psychological literature; however, there are no studies in the area of computational advertising because the effect of such advertising is difficult to observe.
Takanori Maehara +3 more
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Imagine and Imitate: Cost-Effective Bidding under Partially Observable Price Landscapes
Big Data and Cognitive ComputingReal-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 +8 more
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Methods of participating power spot market bidding and settlement for renewable energy systems
Energy Reports, 2022 The bidding strategies in electricity markets are non-conventional sources of flexibility. The market bids are usually in the form of a price and quantity quotation, and they state how much the seller or buyers are willing to buy or sell and for what ...
Tingting Cai +3 more
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Import Tenders and Bidding Strategies in Wheat [PDF]
Review of Agricultural Economics, 2001 Bidding competition plays an important role in price discovery and the determination of suppliers in international grains. We analyze bidding competition in this paper in the international market for wheat for a specific importer. Optimal bids and expected payoffs were derived for a prototypical bidder.
Wilson, William W., Dahl, Bruce L.
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Zhongguo dianliTo examine how medium- and long-term (MLT) market transactions affect spot-market operations and to analyze generators' bidding strategies in the spot market, this paper proposes a bilevel optimization model and a multi-agent deep reinforcement learning (
Xiaogang LI +5 more
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Energies, 2017 In a competitive electricity market with substantial involvement of renewable electricity, maximizing profits by optimizing bidding strategies is crucial to different power producers including conventional power plants and renewable ones.
Yi Tang +5 more
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