Title: Value chain for smart grid data: a brief review

Authors: Feng Chen; Huan Xu; Jigang Zhang; Guiyu Li

Addresses: China Southern Power Grid Co., Ltd., Guangzhou, China ' China Southern Power Grid Co., Ltd., Guangzhou, China ' China Southern Grid Energy Development Research Institute Co., Ltd., Guangzhou, China ' China Southern Grid Energy Development Research Institute Co., Ltd., Guangzhou, China

Abstract: Smart grids are now crucial infrastructures in many countries. They build two-way communication between customers and utility enterprises. Since power and energy are associated with human activities, smart grid data are extremely valuable. At present, these data are currently being used in some areas. As a novel asset, the value of smart grid data needs quantitative measurement for evaluation and pricing. To achieve this, it is essential to analyse the overall process of value creation, which can help calculate costs and discover potential applications. The process can be effectively revealed by building a data value chain for smart grid data, which illustrates the data flow and clarifies the data sources, analytics, utilisation, and monetisation. This article provides a three-step data value chain for smart grid data and expounds on each step. This article also reviews various methods and some challenges with smart grid data.

Keywords: smart grid; data value chain; data collection; data analysis; data monetisation.

DOI: 10.1504/IJCSE.2024.142833

International Journal of Computational Science and Engineering, 2024 Vol.27 No.6, pp.680 - 690

Received: 09 Sep 2022
Received in revised form: 14 Oct 2022
Accepted: 31 Oct 2023
Published online: 28 Nov 2024 *

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