A U2P-Miner-Based Method to Identify Critical Energy-Consuming Parts of Urban Rail Operation System
Urban rail system is one of the most energy-consuming and highest costing public sectors in cities, and its energy efficiency has great potential to improve on the system level. The aim of this study is to introduce a novel method for identifying key energy-consuming parts based on univariate uncertain data pattern miner (U2P-miner) in order to improve the energy efficiency of urban rail system and to apply it in a real urban rail system. Firstly, an energy consumption association network model is constructed based on the operation energy consumption by analyzing the association among the energy use during operation. Secondly, a method for identifying critical nodes using U2P-miner algorithm is presented, which consider both topological and energy-consuming attributes of nodes. Finally, the proposed method is applied in Beijing Subway to help operator make better choices in energy efficiency improvement.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9789811528613
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Supplemental Notes:
- © Springer Nature Singapore Pte Ltd. 2020.
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Corporate Authors:
Springer Singapore
152 Beach Road
Singapore, 189721 -
Authors:
- Wu, Mingtao
- Wang, Yanhui
- Lin, Shuai
- Hao, Boyan
- Sun, Pengfei
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Conference:
- 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT 2019)
- Location: Qingdao , China
- Date: 2019-10-25 to 2019-10-27
- Publication Date: 2020-4
Language
- English
Media Info
- Media Type: Web
- Edition: 1
- Features: References;
- Pagination: pp 245-255
- Monograph Title: Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019: Novel Traction Drive Technologies of Rail Transportation
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Serial:
- Lecture Notes in Electrical Engineering
- Volume: 638
- Publisher: Springer
- ISSN: 1876-1100
Subject/Index Terms
- TRT Terms: Energy conservation; Energy consumption; High speed rail; Subways; Urban areas; Vehicle design
- Identifier Terms: Beijing Metro
- Geographic Terms: Beijing (China)
- Subject Areas: Energy; Operations and Traffic Management; Railroads;
Filing Info
- Accession Number: 01928282
- Record Type: Publication
- ISBN: 9789811528613
- Files: TRIS
- Created Date: Aug 23 2024 3:26PM