Research on Characteristics and Value Analysis of Power Grid Data Asset

Song, Wei; Zhang, Yuejin; Wang, Jun; Li, Haifeng; Meng, Yajing; Cheng, Runtong

doi:10.1016/j.procs.2018.10.234

Cited by 6 publications

(4 citation statements)

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“…With the advent of Internet plus era, the status of data as a basic strategic resource has become increasingly prominent [1][2][3]. As network security threats become increasingly prominent, data face many security risks during storage, processing, and transmission.…”

Section: Introductionmentioning

confidence: 99%

Application Research of Intelligent Classification Technology in Enterprise Data Classification and Gradation System

Wang

Chang

et al. 2020

Complexity

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Classification and gradation system adopts different security protection schemes for different types of data by implementing classification and gradation management of data, which is an important pretechnical means for data security protection and prevention of data leakage. This paper introduces artificial intelligence classification, machine learning, and other means to learn and train enterprise documents according to the characteristics of enterprise sensitive data. The generated training model can intelligently identify and classify file streams, improving work efficiency and accuracy of classification and gradation. At the same time, the differences, advantages, and disadvantages of K-NN (K-Nearest Neighbors), DT (Decision Tree), and LinearSVC algorithms are compared. The experimental data shows that LinearSVC algorithm is applicable to high-dimensional data, with discrete, sparse data features and large number of features, which is more suitable for classification of sensitive data of enterprises.

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Section: Introductionmentioning

confidence: 99%

Application Research of Intelligent Classification Technology in Enterprise Data Classification and Gradation System

Wang

Chang

et al. 2020

Complexity

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“…In terms of smart grid data assets, [17] analyses the characteristics and value evaluation of power grid data assets by using the data generated from the business operation of a Power Grid Corp. [20] provides deep insights into various big data technologies and discusses big data analytics in the context of the smart grid. [23] proposes a framework for asset data management in power companies, which introduces a holistic approach, provides context and accountability for decision-making, and attributes data flows, roles, and responsibilities to different management levels.…”

Section: Related Workmentioning

confidence: 99%

Research on the Path of Smart Grid Data Assetization

Chen¹,

Zhang²,

Wu³

et al. 2023

Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

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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.

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“…The first step is to determine the internal market pricing model. The SOEs should check and approve the price of all activities in the whole value chain of data management, data application and support services in a fair and fair manner, with reference to the market pricing rules, to ensure that the simulated income can be compared horizontally among all disciplines and units, and vertically within the same unit's historical period, and complete the check and approval of the whole transaction price of data governance [8] , as the basis for calculating the value contribution of data governance at all levels. Among them, for data products or services provided to external markets, since they have been priced and provided externally, the current price provided externally is directly taken as the price of external data governance activities, and adjusted synchronously according to the change of the actual price provided externally.…”

Section: Operating the Whole Market And Designing The Internal Market...mentioning

confidence: 99%

The collaborative strategy of data governance of state-owned enterprises in China

Han

2023

SHS Web Conf.

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The new transformation spawned by digitization brings a new change in the logic of data governance. In recent years, the state-owned enterprises (SOEs) of China has been strengthening the construction of data governance system, but there are still a series of key issues that need to be solved. It is urgent to carry out research on issues related to data governance, to play the data elements of the amplification, superposition and multiplier effect. This study analyzes the new requirements of data governance in the new situation and the reasons for the non-synergy of data governance of SOEs. Then this research proposes the collaborative optimization strategy of data governance in the SOEs. The main findings of this research are as followed: On the one hand, the reasons for the lack of synergy in the SOEs’ data governance are comprehensively analyzed. On the other hand, some key strategies for the optimization of the company’s data governance synergy are proposed. For example, this stuty proposes to build multilevel data governance internal market, design internal market transaction elements, create internal market operation management mechanism, establish internal market performance evaluation and assessment mechanism, and improve the internal market-oriented and efficient operation supporting capacity.

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Research on Characteristics and Value Analysis of Power Grid Data Asset

Cited by 6 publications

References 0 publications

Application Research of Intelligent Classification Technology in Enterprise Data Classification and Gradation System

Application Research of Intelligent Classification Technology in Enterprise Data Classification and Gradation System

Research on the Path of Smart Grid Data Assetization

The collaborative strategy of data governance of state-owned enterprises in China

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