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operation method and system based on arficial intelligence for carbon credit trading

机译:基于人工智能碳信用交易的操作方法和系统

摘要

The present invention relates to an artificial intelligence carbon credit trading system. Artificial intelligence carbon credit trading system according to an embodiment of the present invention, an artificial intelligence prediction unit for predicting the increase or decrease of greenhouse gas emissions of a facility through data obtained from a sensing device attached to the facility; An agency that predicts the total amount of carbon credit sales, which is the sum of the total reductions of the facilities for which the artificial intelligence prediction unit predicts the emission reduction, and announces a competitive bid to the energy supplier, subject to the exchange of energy equal to the predicted amount of sale wealth; a substitution ratio setting unit for setting an energy substitution amount based on the lowest price per unit of fuel among the energy supply companies that responded to the bid through the agency unit; and when the artificial intelligence prediction unit predicts the emission increase, the amount of fuel loss corresponding to the cost of purchasing carbon credits generated based on the energy replacement amount determined by the replacement rate setting unit is notified to the facility manager, and the artificial intelligence prediction unit predicts the emission reduction and an economic feasibility notification unit for notifying the facility manager of the amount of fuel obtained as much as the cost of selling carbon credits generated based on the amount of energy replacement determined by the replacement rate setting unit.
机译:本发明涉及人工智能碳信用交易系统。根据本发明的实施例的人工智能碳信用交易系统,用于通过从附接到设施附接的传感装置获得的数据来预测设施的温室气体排放的增加或减少的人工智能预测单元;预测碳信用销售总额的机构,这是人工智能预测单位预测减排的设施的总减少的总和,并宣布对能源供应商的竞争竞标,但须兑换能量等于预测的销售财富金额;一种替代比例设定单元,用于在能源供应公司之间的每单位燃料中的最低价格设置能量替代量,这些公司通过代理单位响应出价;当人工智能预测单元预测发射增加时,对基于由更换速率设定单元确定的能量更换量产生的碳信用费用的燃料损失量被通知到设施管理器,以及人工智能预测单元预测减排和经济可行性通知单元,用于通知所获得的燃料量,作为销售基于替换率设定单元确定的能量替代数量产生的碳信用的成本。

著录项

  • 公开/公告号KR102317077B1

    专利类型

  • 公开/公告日2021-10-25

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020210054043

  • 发明设计人 강대웅;

    申请日2021-04-27

  • 分类号G06Q50/26;G06N3;G06Q30/08;

  • 国家 KR

  • 入库时间 2022-08-24 21:52:30

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