数字化背景下电力数据要素定价机制优化研究

Research on power data element pricing mechanism optimization in the context of digitalization

“双碳”目标背景下,利用大数据等技术实现行业的数字化转型成为电力行业实现提质增效、节能减排降耗的重要手段。然而,目前针对电力数据资产定价问题的研究大多未考虑风险因素,电力数据要素定价及优化一直是学界研究的热点。首先,对成本法、数据价值实现风险、电力数据要素定价优化模型等进行了理论综述;其次,构建电力数据要素定价优化模型,并将数据的价值实现风险和市场供求因素2个风险因素纳入到优化模型中;最后,以某企业能效监测产品为例,验证电力数据要素定价优化模型的有效性。

To achieve dual carbon target,power industry applies big data and other technologies in industry digitalization to realize quality and efficiency improvement,energy conservation and emission reduction.However,most of current researches on power data asset pricing mechanism have not taken risk factors into consideration.And power data factor pricing mechanism and its optimization have drawn great academic attention.Firstly,the cost method,data value realization risk and power data factor pricing optimization model are summarized theoretically.Then,the power data factor pricing optimization model is constructed with two risk factors,data value realization risk and supply-demand risk,taken into account.Finally,taking an energy efficiency monitoring product of an enterprises as an example,the effectiveness of the power data factor pricing optimization model is verified.