Obstacle analysis of application of blockchain technology in power data trading based on improved DEMATEL–ISM method under fuzzy environment
Power data transaction is significant to the benefit increment of power enterprises and revitalization of social resources. Blockchain has a wide application prospect in data trading, but its concrete implementation faces many difficulties. This article proposes an obstacle analysis framework to und...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722005984 |
| _version_ | 1797902007912103936 |
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| author | Peng Chen Bing Cai Minrong Wu Yunhao Zhao |
| author_facet | Peng Chen Bing Cai Minrong Wu Yunhao Zhao |
| author_sort | Peng Chen |
| collection | DOAJ |
| description | Power data transaction is significant to the benefit increment of power enterprises and revitalization of social resources. Blockchain has a wide application prospect in data trading, but its concrete implementation faces many difficulties. This article proposes an obstacle analysis framework to understand the barriers of application of blockchain technology in power data trading, aiming to provide a decision-making guidance and management suggestions to relevant personnel. Firstly, an obstacle index system with 11 barriers is determined from three aspects of application, technology and legal policy. Secondly, a quantitative analysis model is constructed with (IT2TrFN), improved hesitant fuzzy linguistic term set (HFLTS), decision-making trial and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM). And the K-means method is employed to optimize the discrimination of influence relations among indicators. Then, the model is applied in a case study to testify its applicability. The result shows that the difficulty in data maintenance is fundamental obstacle, the barriers of smart contract and supervision in transaction are important factors. Finally, a series of optimization measures and suggestions are put forward for different obstacles. |
| first_indexed | 2024-04-10T09:10:59Z |
| format | Article |
| id | doaj.art-658917c4d49341ec957d9b2dd928adde |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T09:10:59Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-658917c4d49341ec957d9b2dd928adde2023-02-21T05:10:52ZengElsevierEnergy Reports2352-48472022-11-01845894607Obstacle analysis of application of blockchain technology in power data trading based on improved DEMATEL–ISM method under fuzzy environmentPeng Chen0Bing Cai1Minrong Wu2Yunhao Zhao3State Grid Ningxia Electric Power Co., Ltd, Yinchuan, Ningxia, 750001, ChinaState Grid Ningxia Electric Power Co., Ltd, Yinchuan, Ningxia, 750001, ChinaState Grid Ningxia Electric Power Co., Ltd, Yinchuan, Ningxia, 750001, China; Corresponding author.National Institute of Energy Development Strategy, North China Electric Power University, Changping, Beijing, 102206, ChinaPower data transaction is significant to the benefit increment of power enterprises and revitalization of social resources. Blockchain has a wide application prospect in data trading, but its concrete implementation faces many difficulties. This article proposes an obstacle analysis framework to understand the barriers of application of blockchain technology in power data trading, aiming to provide a decision-making guidance and management suggestions to relevant personnel. Firstly, an obstacle index system with 11 barriers is determined from three aspects of application, technology and legal policy. Secondly, a quantitative analysis model is constructed with (IT2TrFN), improved hesitant fuzzy linguistic term set (HFLTS), decision-making trial and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM). And the K-means method is employed to optimize the discrimination of influence relations among indicators. Then, the model is applied in a case study to testify its applicability. The result shows that the difficulty in data maintenance is fundamental obstacle, the barriers of smart contract and supervision in transaction are important factors. Finally, a series of optimization measures and suggestions are put forward for different obstacles.http://www.sciencedirect.com/science/article/pii/S2352484722005984Power data tradingBlockchainObstacle analysisDEMATEL–ISMClustering algorithmFuzzy environment |
| spellingShingle | Peng Chen Bing Cai Minrong Wu Yunhao Zhao Obstacle analysis of application of blockchain technology in power data trading based on improved DEMATEL–ISM method under fuzzy environment Energy Reports Power data trading Blockchain Obstacle analysis DEMATEL–ISM Clustering algorithm Fuzzy environment |
| title | Obstacle analysis of application of blockchain technology in power data trading based on improved DEMATEL–ISM method under fuzzy environment |
| title_full | Obstacle analysis of application of blockchain technology in power data trading based on improved DEMATEL–ISM method under fuzzy environment |
| title_fullStr | Obstacle analysis of application of blockchain technology in power data trading based on improved DEMATEL–ISM method under fuzzy environment |
| title_full_unstemmed | Obstacle analysis of application of blockchain technology in power data trading based on improved DEMATEL–ISM method under fuzzy environment |
| title_short | Obstacle analysis of application of blockchain technology in power data trading based on improved DEMATEL–ISM method under fuzzy environment |
| title_sort | obstacle analysis of application of blockchain technology in power data trading based on improved dematel ism method under fuzzy environment |
| topic | Power data trading Blockchain Obstacle analysis DEMATEL–ISM Clustering algorithm Fuzzy environment |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722005984 |
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