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电力大数据:2023,26(06):-
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基于区块链和博弈论的碳交易多方定价机制研究与系统设计
陈英达1, 林克全1, 卢志良2, 董召杰2, 杨伟2, 王鹏凯2
(1.中国南方电网有限责任公司;2.南方电网人工智能科技有限公司)
Research and System design of carbon trading multi-party pricing mechanism based on blockchain and game theory
chenyingda1, linkequan1, luzhiliang2, dongzhaojie2, yangwei2, wangpengkai2
(1.China Southern Power Grid Limited liability Company;2.Southern Power Grid Artificial Intelligence Technology Co., LTD)
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本文已被:浏览 347次   下载 985
投稿时间:2023-06-15    修订日期:2023-08-01
中文摘要: 随着全球气候变化问题的日益突出,碳交易作为一种重要的环保手段逐渐受到广泛关注。在碳交易中,多方定价机制被广泛应用。本文探讨了基于区块链和博弈论的碳交易多方定价机制设计。通过使用区块链技术记录碳交易的信息和智能合约实现自动化执行和多方协作,该机制可以增加碳交易的透明度和可信度。通过基于博弈论的多方定价机制帮助找到最优的定价策略,以实现碳交易的公平和合理。同时,还采用机器学习和数据分析技术,根据历史交易数据对碳交易单价及市场未来趋势进行预测,为交易者带来更精确的参考建议。此外,本文还设计并实现了一个基于区块链和博弈论的碳交易系统,并且对该系统的可行性进行了验证,证明了最优的定价策略在该系统中是可行的。已确认并按要求修改
Abstract:With the increasingly serious problem of global climate change, carbon trading has gradually become an important means of environmental protection. In carbon trading, multi-party pricing mechanism is widely used. This paper discusses the design of multi-party pricing mechanism for carbon trading based on blockchain and game theory. By using blockchain technology to record carbon trading information and smart contracts to achieve automated execution and multi-party collaboration, the mechanism can increase the transparency and credibility of carbon trading. Through the multi-party pricing mechanism based on game theory, it helps to find the optimal pricing strategy to achieve fairness and rationality in carbon trading.At the same time, it also uses machine learning and data analysis technology to predict the unit price of carbon transactions and future market trends based on historical transaction data, bringing more accurate reference suggestions to traders. In addition, this paper also designs and implements a carbon trading system based on blockchain and game theory, and verifies the availability of the optimal pricing strategy in the system.
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基金项目:中国南方电网有限责任公司科技项目(GZ2015-2-0047)
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