Academic literature on the topic 'Bidding strategy'

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Journal articles on the topic "Bidding strategy"

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Li, Yu Hui. "Chinese Enterprises in the Competition in the International Project Bidding Analysis." Advanced Materials Research 1079-1080 (December 2014): 1111–14. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.1111.

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The biddingat home and abroad was reviewed and compared with the bidding,pre-qualification, project environment differences, similarities anddifferences of contract conditions, etc.International project tender offersstrategy including binding decision-making strategy, in-depth hinterlandstrategy and combined strategy. Transnational project bidding quotation hasexpanded the unit price, opens the mouth to upgrade offer, more quotation, noprofit, joint offer insurance mark, and other skills. Through these analyses,put forward reasonable suggestions to our country in the international projectbiddi
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Chiou, Chin Rung, Jyh Dong Lin, and Guan Jia Huang. "Analyzing Bidding Strategy for Pavement Engineering with Multi-Criteria Decision-Making." Advanced Materials Research 723 (August 2013): 798–804. http://dx.doi.org/10.4028/www.scientific.net/amr.723.798.

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This study analyzes key success factors of bidding results and provides the optimal bidding strategy for the pavement engineering. According to Public construction bidding management system data of Public Construction Commission of Executive Yuan, we found that the optimal bidding strategies in the most studies only focused on bidding prices and winning bid amounts. However, public constructions are usually on a large scale with great investments, it is critical to control budgets under quality and duration considerations. In addition, it is complicated for bidders to implement the optimal bid
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Fu, Heyan. "Construction Project Bidding Agency and Cost Management Strategy in Bidding Stage." Journal of Architectural Research and Development 6, no. 3 (2022): 21–26. http://dx.doi.org/10.26689/jard.v6i3.3913.

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In the social development, bidding agency plays an important part, providing services for the development of construction project bidding, and endows the development of construction project bidding with a diversified characteristic. The cost management of a construction project bidding stage has a dynamic characteristic. The bidding agency can provide bidding related business for the construction enterprises to ensure the quality and the effect of the bidding service, leading to the foundation for the sustainable development of the construction enterprises. This paper analyzes the deficiency i
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Luo, Xiaotong, Yongjian Chen, Shengda Zhuo, et al. "Imagine and Imitate: Cost-Effective Bidding under Partially Observable Price Landscapes." Big Data and Cognitive Computing 8, no. 5 (2024): 46. http://dx.doi.org/10.3390/bdcc8050046.

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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. However, in practise, the optimal bidding strategy for real-time bidding is constrained by at least three aspects: cost-effectiveness, the dynamic nature of market prices, and the issue of missing bidding values. To address these challenges, we propose Imagine and Imitate Bidding (IIBidder), which includes Strategy Imitation and Imagination modules, to generate cost-effective bidding s
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Chen, Zhong Wen. "Optimal Bidding Decision of Bidders in Homogeneous Goods Procurement." Applied Mechanics and Materials 415 (September 2013): 726–29. http://dx.doi.org/10.4028/www.scientific.net/amm.415.726.

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In this paper, a uniform price auction mechanism for procuring homogeneous divisible goods is studied, and both nonlinear bidding strategy and linear bidding strategy of symmetric bidders are analyzed. And then the dominant relationship is discussed deeply between the two kinds of equilibrium bids. The results show that the nonlinear equilibrium bidding strategy dominates linear ones. Based on this analysis, several suggestions are given on how to make optimal decision making on bidding strategy choice for bidders.
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Han, Junfen. "Deep learning model based e-tendering strategy and corporate sustainability." Journal of Combinatorial Mathematics and Combinatorial Computing 127a (April 15, 2025): 583–600. https://doi.org/10.61091/jcmcc127a-034.

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Under the background of the current information age, the electronic and intelligent transformation of the bidding industry has become an inevitable trend, and the e-bidding model stands out and greatly improves people’s understanding of bidding. Aiming at the traditional e-bidding system, in order to solve the problem of the lack of the traditional e-bidding system that provides the bidding body with referable opinions, this study firstly constructs the e-bidding risk assessment indexes and realizes the optimization of the evaluation module of the system. Then the recommendation algorithm base
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Zhang, Zongyuan, Jincan Liu, Zhitian Zhang, and Bin Chen. "Study on the Dynamic Evolution of Transverse Collusive Bidding Behavior and Regulation Countermeasures Under the “Machine-Managed Bidding” System." Buildings 15, no. 2 (2025): 150. https://doi.org/10.3390/buildings15020150.

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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 under this mode. The objectives of this study are to analyze the bidding mechanism and the dynamic evolution of collusive bidding behavior under the MMB system and provide targeted regulation countermeasures. To this end, this study develops an evolutionary game model among collusion initiators, free bidders, and regulators, explores possible
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Li, An Jun, Hong Ming Yang, Shu Lei Deng, and Bao Ping Liu. "Generation Strategy Optimization Based on Peak Regulation Right Transaction Mechanism." Applied Mechanics and Materials 203 (October 2012): 390–94. http://dx.doi.org/10.4028/www.scientific.net/amm.203.390.

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A bidding system of peak regulation right based on multi-agent is proposed according to the property of the peak regulation right. Then, the biggest goals of social benefits of all power generation companies are developed based on bidding system. Simultaneously bidding strategy of peak regulation right of the biggest goals of social benefits of all power generation company agents and internal cost optimization strategy of electricity generation companies are respectively raised for the goals. Example analysis shows that the proposed Bidding system takes on better viability and effectiveness.
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Drew, Derek S., L. Y. Shen, and Patrick X. W. Zou. "Developing an optimal bidding strategy in two-envelope fee bidding." Construction Management and Economics 20, no. 7 (2002): 611–20. http://dx.doi.org/10.1080/01446190210160843.

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Malone, David. "Workload Distribution Within An Extensive Case Pedagogy: A Competitive Bidding Strategy." College Teaching Methods & Styles Journal (CTMS) 1, no. 3 (2011): 13. http://dx.doi.org/10.19030/ctms.v1i3.5235.

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This paper presents a bidding strategy that may be incorporated into case-intensive courses. The purpose of the bidding process is to equitably distribute credit when students are assigned cases of differing degrees of difficulty. The paper also collects data to help answer a basic research question regarding this device: Is there evidence of bounded rationality among students in executing their bidding strategies? While there does appear to be evidence of some bounded rationality, the bidding mechanism appears to distribute workload and credit rationally.
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Dissertations / Theses on the topic "Bidding strategy"

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Gao, Feng. "Optimal GENCO bidding strategy." [Ames, Iowa : Iowa State University], 2007.

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Tang, Wing-hung, and 鄧永雄. "Bidding strategy: the consultants' perspective." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29611428.

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Peng, Tengshun. "Bidding strategy and empirical analysis of bidding in electrical power market." Online access for everyone, 2006. http://www.dissertations.wsu.edu/Dissertations/Spring2006/t%5Fpeng%5F011406.pdf.

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Sadat, Sayed Abdullah. "Optimal Bidding Strategy for a Strategic Power Producer Using Mixed Integer Programming." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6631.

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The thesis focuses on a mixed integer linear programming (MILP) formulation for a bi-level mathematical program with equilibrium constraints (MPEC) considering chance constraints. The particular MPEC problem relates to a power producer’s bidding strategy: maximize its total benefit through determining bidding price and bidding power output while considering an electricity pool’s operation and guessing the rival producer’s bidding price. The entire decision-making process can be described by a bi-level optimization problem. The contribution of our thesis is the MILP formulation of this problem
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Wilenius, Jim. "Bidding in Combinatorial Auctions." Doctoral thesis, Uppsala universitet, Avdelningen för datalogi, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-102960.

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This thesis concerns the interdisciplinary field of combinatorial auctions, combining the fields of computer science, optimization and economics. A combinatorial auction is an auction where many items are sold simultaneously and where bidders may submit indivisible combinatorial bids on groups of items. It is commonly believed that good solutions to the allocation problem can be achieved by allowing combinatorial bidding. Determining who wins in a combinatorial auction is fundamentally different from a traditional single-item auction because we are faced with a hard and potentially intractable
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Cheung, Tim-Yan Eric, and 張天恩. "The bidding strategy for Hong Kong Housing Authority maintenance contracts." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31251559.

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Cheung, Tim-Yan Eric. "The bidding strategy for Hong Kong Housing Authority maintenance contracts /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25948507.

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Buisman, Jacco. "Game Theory and Bidding for Software Projects An Evaluation of the Bidding Behaviour of Software Engineers." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5850.

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The conception phase is one of the most important phases of software projects. In this phase it is determined which software development company will perform a software project. To obtain a software project, companies can have several bidding strategies. This thesis investigates if and how game theory can be a helpful tool to evaluate bidding for software projects. This thesis can be divided into two different parts: a theoretical and a practical. The theoretical part investigates the applicable parts of game theory in this thesis, explains what software projects are, explains the difference b
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Olsson, Magnus. "Optimal regulating power market bidding strategies in hydropower systems." Licentiate thesis, Stockholm :, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-596.

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OLIVEIRA, ARMANDO MATOS DE. "OPTIMUM PRICE BIDDING STRATEGY IN THE SHORT-TERM MARKET OF HYDRO-DOMINATED ELECTRIC SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2003. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=4484@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>Em mercados onde há competição perfeita não há margem para os agentes maximizarem seus lucros através de comportamento não competitivo. Entretanto, o que se observa em mercados de energia elétrica se aproxima mais de um oligopólio do que de um mercado com competição perfeita. Se a competição não é perfeita, os agentes de geração podem tentar estabelecer estratégias de oferta de preços de forma a maximizar seus lucros. Nesta tese investiga-se a possibilidade de estabeler estratégias ótimas de oferta de preços no mercado de curto praz
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Books on the topic "Bidding strategy"

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Barr, Ronald S. General construction contractor bidding strategy variations based on market conditions. Available from the National Technical Information Service, 1990.

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Zavlangas, D. Contractor's bidding strategy: A review and comparison of competitive bidding techniques used by British and Greek contractors. UMIST, 1996.

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Sinclair-Desgagne, Bernard. "When stationary strategies are equilibrium bidding strategy: The single-crossing property". INSEAD, 1986.

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Vakaki, Elpida. Bidding strategy for donor funded development projects in theagricultural sector: A case study of Bulgaria. UMIST, 1994.

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Park, William R. Construction bidding: Strategic pricing for profit. 2nd ed. Wiley, 1992.

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Park, William R. Construction bidding: Strategic pricing for profit. 2nd ed. Wiley, 1992.

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Skitmore, R. M. Contract bidding in construction: Strategic management and modelling. Longman Scientific & Technical, 1989.

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Coles, Melvyn G. Strategic bargaining and competitive bidding in a dynamic market equilibrium. Centre for Economic Policy Research, 1994.

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Hortaçsu, Ali. Understanding strategic bidding in restructured electricity markets: A case study of ERCOT. National Bureau of Economic Research, 2005.

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Hortaçsu, Ali. Understanding strategic bidding in restructured electricity markets: A case study of ERCOT. National Bureau of Economic Research, 2005.

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Book chapters on the topic "Bidding strategy"

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Ghosh, Aritra, Saayan Mitra, Somdeb Sarkhel, and Viswanathan Swaminathan. "Optimal Bidding Strategy without Exploration in Real-time Bidding." In Proceedings of the 2020 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2020. http://dx.doi.org/10.1137/1.9781611976236.34.

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Baringo, Luis, Miguel Carrión, and Ruth Domínguez. "Bidding Strategy of an Electric Vehicle Aggregator." In Electric Vehicles and Renewable Generation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09079-0_6.

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Palit, D., and N. Chakraborty. "Constrained Optimal Bidding Strategy in Deregulated Electricity Market." In Advances in Intelligent Systems and Computing. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2135-7_91.

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Zeroual, Jad, Marianne Akian, Aurélien Bechler, Matthieu Chardy, and Stéphane Gaubert. "Optimal Strategy Against Straightforward Bidding in Clock Auctions." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78600-6_8.

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Baarslag, Tim. "A Quantitative Concession-Based Classification Method of Bidding Strategies." In Exploring the Strategy Space of Negotiating Agents. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28243-5_8.

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Borissov, Nikolay, and Niklas Wirström. "Q-Strategy: A Bidding Strategy for Market-Based Allocation of Grid Services." In On the Move to Meaningful Internet Systems: OTM 2008. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88871-0_52.

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Pavanje, Nirupama. "Bidding Strategy in Simultaneous English Auctions Using Game Theory." In Advances in Intelligent Systems and Computing. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-0740-5_91.

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Jonker, Catholijn M., and Reyhan Aydoğan. "Deniz: A Robust Bidding Strategy for Negotiation Support Systems." In Advances in Automated Negotiations. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5869-6_3.

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Goyal, Madhu, Saroj Kaushik, and Preetinder Kaur. "Automated Fuzzy Bidding Strategy Using Agent’s Attitude and Market Competition." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16098-1_11.

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Wu, Yuzhu, Shumin Pan, Qianwen Zhang, and Jinkui Xie. "Dynamic Bidding Strategy Based on Probabilistic Feedback in Display Advertising." In Neural Information Processing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70096-0_86.

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Conference papers on the topic "Bidding strategy"

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Qiu, Hongkun, Yuan Feng, Guogang Yang, Chunlong Fan, and Haojie Zhu. "Time Slot Bidding Optimization Strategy Based on TD3 in Real-Time Bidding." In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024. https://doi.org/10.1109/smc54092.2024.10831596.

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Kalospyrou, Ioanna, Timothy Hutty, Robert Milton, and Solomon Brown. "Flexible Bidding in Local Energy Markets: Simulation-Based Insights into the FAPO Bidding Strategy." In 2025 21st International Conference on the European Energy Market (EEM). IEEE, 2025. https://doi.org/10.1109/eem64765.2025.11050318.

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Ren, Weihang, and Yongpei Guan. "Battery Bidding Strategy Under Uncertainty Considering Market Practical Situations." In 2024 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2024. http://dx.doi.org/10.1109/pesgm51994.2024.10689237.

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Ping, Jiang. "Bidding Strategy in Takeover." In 2011 International Conference on Management and Service Science (MASS 2011). IEEE, 2011. http://dx.doi.org/10.1109/icmss.2011.5998440.

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Ealias, Shiji, Arfathulla Shariff, Bhavana BM, Deekshak SK, and Deepika S. "Dynamic Bidding Platform for Enhanced E-commerce Products." In International Conference on Recent Trends in Computing & Communication Technologies (ICRCCT’2K24). International Journal of Advanced Trends in Engineering and Management, 2024. http://dx.doi.org/10.59544/ylsp3783/icrcct24p59.

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Real time bidding (RTB) is one of the most striking advances in online advertising, where the websites can sell each ad impression through a public auction, and the advertisers can participate in bidding the impression based on its estimated value. In RTB, the bidding strategy is an essential component for advertisers to maximize their revenues (e.g., clicks and conversions). However, most existing bidding strategies may not work well when the RTB environment changes dramatically between the historical and the new ad delivery periods since they regard the bidding decision as a static optimizat
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Lou, Yongli. "Study on Bidding Evaluation Method and Bidding Strategy of Construction Project." In 2016 2nd Workshop on Advanced Research and Technology in Industry Applications (WARTIA-16). Atlantis Press, 2016. http://dx.doi.org/10.2991/wartia-16.2016.236.

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Maehara, Takanori, Atsuhiro Narita, Jun Baba, and Takayuki Kawabata. "Optimal Bidding Strategy for Brand Advertising." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/59.

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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. In this study, we consider a real-time biding strategy for brand advertising. Here, our objective to maximizes the total number of users who remember the advertisement, averaged over the time. For this objective, we first introduce a new objective function that c
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Sedeh, Sara Sharifi, Mohammad Ali Nematbakhsh, and Faria Nasiri Mofakham. "A Bidding Strategy in Combinatorial Auctions." In 2011 2nd International Conference on Intelligent Systems, Modelling and Simulation (ISMS). IEEE, 2011. http://dx.doi.org/10.1109/isms.2011.69.

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Chowdhury, Moinul Morshed Porag, Christopher Kiekintveld, Son Tran, and William Yeoh. "Bidding in Periodic Double Auctions Using Heuristics and Dynamic Monte Carlo Tree Search." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/23.

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In a Periodic Double Auction (PDA), there are multiple discrete trading periods for a single type of good. PDAs are commonly used in real-world energy markets to trade energy in specific time slots to balance demand on the power grid. Strategically, bidding in a PDA is complicated because the bidder must predict and plan for future auctions that may influence the bidding strategy for the current auction. We present a general bidding strategy for PDAs based on forecasting clearing prices and using Monte Carlo Tree Search (MCTS) to plan a bidding strategy across multiple time periods. In additio
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Yang, Dan, Ame Hallam, Yanni Chen, Xiaoming Wang, and Fan Yang. "Optimal Bidding Strategy for Financial Transmission Right." In 2006 International Conference on Power System Technology. IEEE, 2006. http://dx.doi.org/10.1109/icpst.2006.321880.

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Reports on the topic "Bidding strategy"

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Hortacsu, Ali, and Steven Puller. Understanding Strategic Bidding in Restructured Electricity Markets: A Case Study of ERCOT. National Bureau of Economic Research, 2005. http://dx.doi.org/10.3386/w11123.

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Wolfram, Catherine. Strategic Bidding in a Multi-Unit Auction: An Empirical Analysis of Bids to Supply Electricity. National Bureau of Economic Research, 1997. http://dx.doi.org/10.3386/w6269.

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Witzel, Blair, Patricia Yamilee Payen, Veronica Benedettelli, Victor Hugo Escala Mendez, Luis Tejerina, and Jennifer Nelson. Digital Health: Procurement Guide. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0012996.

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The Digital Health Procurement Guide is a comprehensive resource developed by the Inter-American Development Bank (IDB) to assist its clients in procuring digital health tools. It provides an overview of the procurement process, including key stages and responsibilities, and offers practical tools and templates to facilitate a successful procurement. The guide emphasizes the importance of strategic planning, understanding needs, executing a structured procurement process, and negotiating effective contracts. Collaboration among stakeholders is also highlighted as crucial for successful digital
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Ossoff, Will, Naz Modirzadeh, and Dustin Lewis. Preparing for a Twenty-Four-Month Sprint: A Primer for Prospective and New Elected Members of the United Nations Security Council. Harvard Law School Program on International Law and Armed Conflict, 2020. http://dx.doi.org/10.54813/tzle1195.

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Under the United Nations Charter, the U.N. Security Council has several important functions and powers, not least with regard to taking binding actions to maintain international peace and security. The ten elected members have the opportunity to influence this area and others during their two-year terms on the Council. In this paper, we aim to illustrate some of these opportunities, identify potential guidance from prior elected members’ experiences, and outline the key procedures that incoming elected members should be aware of as they prepare to join the Council. In doing so, we seek in part
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