Article: Panoramic display of multi-dimensional production information and calculation of spatiotemporal evolution under the data-driven one-map of power grid Journal: International Journal of Energy Technology and Policy (IJETP) 2025 Vol.20 No.7 pp.85 - 108 Abstract: In view of the multi-source heterogeneity and insufficient spatiotemporal analysis capabilities of production information under the digital twin (DT) power grid. In the internet of things (IoT) application scenario, this paper introduces a data-driven platform based on a single map of the power grid, integrating scheduling, operations and maintenance, equipment, and geographic data, and multi-source IoT data, and achieving data standardisation through structured modelling and semantic fusion. The graph database and spatiotemporal index are used to establish a relationship reconstruction and time series restoration model, and WebGL and a knowledge graph are combined to realise panoramic visualisation of multidimensional information. The LSTM network is used to model the spatiotemporal evolution of key indicators and predict trends. Experimental results show that the consistency of data fusion field mapping reaches 95.3%, and the average loading time is less than 500 milliseconds, which effectively supports the operation and management of smart grids. Inderscience Publishers - linking academia, business and industry through research

Title: Panoramic display of multi-dimensional production information and calculation of spatiotemporal evolution under the data-driven one-map of power grid

Authors: Hongliang He; Weijiang Li; Lishi Luo; Yiwei Li; Jiansong Wu; Bo Zhao

Addresses: Production Control Center, State Grid Jibei Electric Power Co., Ltd., Ultra High Voltage Branch, Beijing, 102488, China ' Production Control Center, State Grid Jibei Electric Power Co., Ltd., Ultra High Voltage Branch, Beijing, 102488, China ' Production Control Center, State Grid Jibei Electric Power Co., Ltd., Ultra High Voltage Branch, Beijing, 102488, China ' Production Control Center, State Grid Jibei Electric Power Co., Ltd., Ultra High Voltage Branch, Beijing, 102488, China ' Production Control Center, State Grid Jibei Electric Power Co., Ltd., Ultra High Voltage Branch, Beijing, 102488, China ' Production Control Center, State Grid Jibei Electric Power Co., Ltd., Ultra High Voltage Branch, Beijing, 102488, China

Abstract: In view of the multi-source heterogeneity and insufficient spatiotemporal analysis capabilities of production information under the digital twin (DT) power grid. In the internet of things (IoT) application scenario, this paper introduces a data-driven platform based on a single map of the power grid, integrating scheduling, operations and maintenance, equipment, and geographic data, and multi-source IoT data, and achieving data standardisation through structured modelling and semantic fusion. The graph database and spatiotemporal index are used to establish a relationship reconstruction and time series restoration model, and WebGL and a knowledge graph are combined to realise panoramic visualisation of multidimensional information. The LSTM network is used to model the spatiotemporal evolution of key indicators and predict trends. Experimental results show that the consistency of data fusion field mapping reaches 95.3%, and the average loading time is less than 500 milliseconds, which effectively supports the operation and management of smart grids.

Keywords: power grid visualisation; multi-source data integration; spatiotemporal analysis; knowledge graph modelling; long short-term memory network.

DOI: 10.1504/IJETP.2025.151792

International Journal of Energy Technology and Policy, 2025 Vol.20 No.7, pp.85 - 108

Received: 25 Jul 2025
Accepted: 13 Nov 2025
Published online: 19 Feb 2026 *

Title: Panoramic display of multi-dimensional production information and calculation of spatiotemporal evolution under the data-driven one-map of power grid

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