Data Value-Added Service Comprehensive Evaluation Method on the Performance of Power System Big Data
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| Udgivet i: | Energies vol. 18, no. 3 (2025), p. 700 |
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| Hovedforfatter: | |
| Andre forfattere: | , , , , |
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MDPI AG
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| Online adgang: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 001 | 3165887114 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1996-1073 | ||
| 024 | 7 | |a 10.3390/en18030700 |2 doi | |
| 035 | |a 3165887114 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231459 |2 nlm | ||
| 100 | 1 | |a Zhang, Hao |u State Grid Jibei Electric Power Co., Ltd., Beijing 100054, China; <email>ab123h@126.com</email> (H.Z.); <email>zhang_hao_1980@126.com</email> (H.Z.); <email>li_yuan_zhuo_24@163.com</email> (Y.L.) | |
| 245 | 1 | |a Data Value-Added Service Comprehensive Evaluation Method on the Performance of Power System Big Data | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 610 | 4 | |a Alliander Tokyo Electric Power Co C3 Energy | |
| 651 | 4 | |a China | |
| 653 | |a Innovations | ||
| 653 | |a Customer services | ||
| 653 | |a Big Data | ||
| 653 | |a Software | ||
| 653 | |a User needs | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Energy industry | ||
| 653 | |a Electricity distribution | ||
| 653 | |a Business models | ||
| 653 | |a Data processing | ||
| 653 | |a Data analysis | ||
| 653 | |a Energy efficiency | ||
| 653 | |a Logistics | ||
| 653 | |a Cloud computing | ||
| 653 | |a Technology | ||
| 653 | |a Internet of Things | ||
| 700 | 1 | |a Ye, Liang |u Beijing Kedong Electric Power Control System Co., Ltd., Beijing 100192, China; <email>liangye80@163.com</email> (Y.L.); <email>wangjing19891110@126.com</email> (J.W.) | |
| 700 | 1 | |a Wang, Jing |u Beijing Kedong Electric Power Control System Co., Ltd., Beijing 100192, China; <email>liangye80@163.com</email> (Y.L.); <email>wangjing19891110@126.com</email> (J.W.) | |
| 700 | 1 | |a Li, Yuanzhuo |u State Grid Jibei Electric Power Co., Ltd., Beijing 100054, China; <email>ab123h@126.com</email> (H.Z.); <email>zhang_hao_1980@126.com</email> (H.Z.); <email>li_yuan_zhuo_24@163.com</email> (Y.L.) | |
| 700 | 1 | |a Rong, Xiaorui |u School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China; <email>2020211054@bupt.cn</email> | |
| 700 | 1 | |a Gao, Hongda |u School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China; <email>2020211054@bupt.cn</email> | |
| 773 | 0 | |t Energies |g vol. 18, no. 3 (2025), p. 700 | |
| 786 | 0 | |d ProQuest |t Publicly Available Content Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3165887114/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3165887114/fulltextwithgraphics/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3165887114/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |