Article: Analysis on the development path of rural energy digital economy from the perspective of artificial intelligence Journal: International Journal of Energy Technology and Policy (IJETP) 2025 Vol.20 No.7 pp.23 - 47 Abstract: This paper aims to explore the development path of the energy digital economy from the perspective of artificial intelligence and predict its future development trends. This paper selects Tangsteel Group as the research object, and divides the energy digital economy construction with and without artificial intelligence technology into Group A and Group B respectively, and conducts a comparative analysis of Group A and Group B from four aspects: efficiency, safety, cost and accuracy. The experimental results show that: the efficiency of Group A enterprises can reach up to 91.35%; the overall security level of Group A enterprises is greater than 82%; there is no significant difference in cost between Group A and Group B, but Group A can reduce costs through optimisation. Therefore, the popularisation and widespread application of AI technology in the energy sector can greatly promote the digitalisation and intelligentisation of the entire industry. Inderscience Publishers - linking academia, business and industry through research

Title: Analysis on the development path of rural energy digital economy from the perspective of artificial intelligence

Authors: Lu Chen

Addresses: College of Management, Chengyi College, Jimei University, Xiamen, 361021, Fujian, China

Abstract: This paper aims to explore the development path of the energy digital economy from the perspective of artificial intelligence and predict its future development trends. This paper selects Tangsteel Group as the research object, and divides the energy digital economy construction with and without artificial intelligence technology into Group A and Group B respectively, and conducts a comparative analysis of Group A and Group B from four aspects: efficiency, safety, cost and accuracy. The experimental results show that: the efficiency of Group A enterprises can reach up to 91.35%; the overall security level of Group A enterprises is greater than 82%; there is no significant difference in cost between Group A and Group B, but Group A can reduce costs through optimisation. Therefore, the popularisation and widespread application of AI technology in the energy sector can greatly promote the digitalisation and intelligentisation of the entire industry.

Keywords: digital economy; energy development; artificial intelligence; path analysis; Tangshan Steel.

DOI: 10.1504/IJETP.2025.151787

International Journal of Energy Technology and Policy, 2025 Vol.20 No.7, pp.23 - 47

Received: 17 May 2025
Accepted: 26 Sep 2025
Published online: 19 Feb 2026 *

Title: Analysis on the development path of rural energy digital economy from the perspective of artificial intelligence

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