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Data Value-Added Service Comprehensive Evaluation Method on the Performance of Power System Big Data

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Izdano u:Energies vol. 18, no. 3 (2025), p. 700
Glavni autor: Zhang, Hao
Daljnji autori: Ye, Liang, Wang, Jing, Li, Yuanzhuo, Rong, Xiaorui, Gao, Hongda
Izdano:
MDPI AG
Teme:
Alliander Tokyo Electric Power Co C3 Energy
China
Innovations
Customer services
Big Data
Software
User needs
Artificial intelligence
Energy industry
Electricity distribution
Business models
Data processing
Data analysis
Energy efficiency
Logistics
Cloud computing
Technology
Internet of Things
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Sažetak:With the development of digital economy, the integration and secure sharing of energy big data have become pivotal in driving innovation across the energy production, distribution, and consumption sectors. For power enterprises, leveraging data to enhance operational efficiency and drive business development will play a crucial role in value added. Firstly, based on the value-added service framework system of grid enterprises, this paper explores the basic technologies for power data applications and designs a technical roadmap for value-added services. Secondly, the proposed methodology incorporates the analytic hierarchy process (AHP) and gray comprehensive evaluation method (GCE) to determine the weights of key factors affecting the value-added services. Empirical research is conducted to validate the feasibility of typical value-added services. Additionally, this paper proposes methods for evaluating the benefits of value-added services and identifies key technologies in data mining and management, customer value discovery, and data asset utilization, providing theoretical support and practical pathways for the digital transformation of power enterprises.
ISSN:1996-1073
Digitalni identifikator objekta:10.3390/en18030700
Izvor:Publicly Available Content Database