Data sharing in energy systems

IF 13 Q1 ENERGY & FUELS
Jianxiao Wang , Feng Gao , Yangze Zhou , Qinglai Guo , Chin-Woo Tan , Jie Song , Yi Wang
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引用次数: 4

Abstract

Big data has been advocated as a dominant driving force to unleash the great waves of the next-generation industrial revolution. While the ever-increasing proliferation of heterogeneous data contributes to a more sustainable energy system, considerable challenges remain for breaking down the barrier of data sharing across monopolistic sectors and fully exploiting data asset value in a trustworthy environment. Here, we focus on a global aspiration and interest regarding the challenges, techniques, and prospects of data sharing in energy systems. In this paper, a conceptual framework for data sharing is designed, in which we introduce the commodity attribute of data assets and explain the bottlenecks of data trading. Two critical issues, i.e., right confirmation and privacy protection, are then systematically reviewed, which provide a fundamental guarantee for credible data openness. A detailed data market is conceived by elaborating on market bids, data asset valuation and pricing strategy, and game-based clearing. Finally, we conduct a discussion about some low-hanging fruit of data sharing in energy systems.

能源系统中的数据共享
大数据被认为是引领新一代工业革命浪潮的主导力量。虽然异构数据的不断增加有助于建立一个更可持续的能源系统,但在打破垄断部门之间数据共享的障碍,并在可信赖的环境中充分利用数据资产价值方面仍然存在相当大的挑战。在这里,我们关注全球对能源系统数据共享的挑战、技术和前景的期望和兴趣。本文设计了一个数据共享的概念框架,在此框架中引入数据资产的商品属性,并解释了数据交易的瓶颈。然后对权利确认和隐私保护这两个关键问题进行了系统论述,为可信的数据公开提供了根本保障。详细的数据市场是通过详细阐述市场出价、数据资产估值和定价策略以及基于游戏的清算来构想的。最后,我们对能源系统数据共享中一些容易实现的成果进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Applied Energy
Advances in Applied Energy Energy-General Energy
CiteScore
23.90
自引率
0.00%
发文量
36
审稿时长
21 days
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