With the advancement of the digital strategic transformation of power enterprise, how to efficiently use massive smart grid data to serve society and benefit enterprises has become a hot spot in industry research. By transforming data resources into effective data assets, more comprehensive analysis, more accurate prediction, and more valuable decision support can be implemented, which would maximize the data value and benefit appreciation. This article reviews the current situation and challenges of smart grid data assetization, and proposes the realizing path of smart grid data assetization based on the nature of smart grid data and its value-added method. The value assessment and transaction of smart grid data assets are the key links in the path. This article also presents the implementation method of the evaluation system and exchange model of smart grid data assets, which helps boost revenue for the power industry.
China has adopted a gradualism principle in establishing its carbon emission trading system from the regional pilot markets to a national one. In view of the huge market potential and large differences across China, this paper applies the cointegration test and VECM (Vector Error Correction Model) to investigate the long-run trends and the price dynamics of regional pilot markets. The results show that the prices of the regional pilot markets form three long-run trends exhibit mean-reversion patterns. The launch of the national market marks the different performance of regional pilot markets. After the launch of the national market, the number of long-run trends reduces from three to one and the severity of the mean-reversion patterns is eased, indicating the efficiency improvement in China’s carbon market from a fragmented toward a unified market. The policy implication is that China should further develop its national market by incorporating the regional markets into the national one and encouraging more market participants for market transaction.
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