Secure Hydrogen Production Analysis and Prediction Based on Blockchain Service Framework for Intelligent Power Management System
The rapid adoption of hydrogen as an eco-friendly energy source has necessitated the development of intelligent power management systems capable of efficiently utilizing hydrogen resources. However, guaranteeing the security and integrity of hydrogen-related data has become a significant challenge....
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Smart Cities |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-6511/6/6/142 |
| _version_ | 1827573505914306560 |
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| author | Harun Jamil Faiza Qayyum Naeem Iqbal Murad Ali Khan Syed Shehryar Ali Naqvi Salabat Khan Do Hyeun Kim |
| author_facet | Harun Jamil Faiza Qayyum Naeem Iqbal Murad Ali Khan Syed Shehryar Ali Naqvi Salabat Khan Do Hyeun Kim |
| author_sort | Harun Jamil |
| collection | DOAJ |
| description | The rapid adoption of hydrogen as an eco-friendly energy source has necessitated the development of intelligent power management systems capable of efficiently utilizing hydrogen resources. However, guaranteeing the security and integrity of hydrogen-related data has become a significant challenge. This paper proposes a pioneering approach to ensure secure hydrogen data analysis by integrating blockchain technology, enhancing trust, transparency, and privacy in handling hydrogen-related information. Combining blockchain with intelligent power management systems makes the efficient utilization of hydrogen resources feasible. Using smart contracts and distributed ledger technology facilitates secure data analysis (SDA), real-time monitoring, prediction, and optimization of hydrogen-based power systems. The effectiveness and performance of the proposed approach are demonstrated through comprehensive case studies and simulations. Notably, our prediction models, including ABiLSTM, ALSTM, and ARNN, consistently delivered high accuracy with MAE values of approximately 0.154, 0.151, and 0.151, respectively, enhancing the security and efficiency of hydrogen consumption forecasts. The blockchain-based solution offers enhanced security, integrity, and privacy for hydrogen data analysis, thus advancing clean and sustainable energy systems. Additionally, the research identifies existing challenges and outlines future directions for further enhancing the proposed system. This study adds to the growing body of research on blockchain applications in the energy sector, specifically on secure hydrogen data analysis and intelligent power management systems. |
| first_indexed | 2024-03-08T20:22:09Z |
| format | Article |
| id | doaj.art-90f6d74fbb9242ee882ef9ce6b7586d1 |
| institution | Directory Open Access Journal |
| issn | 2624-6511 |
| language | English |
| last_indexed | 2024-03-08T20:22:09Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Smart Cities |
| spelling | doaj.art-90f6d74fbb9242ee882ef9ce6b7586d12023-12-22T14:42:36ZengMDPI AGSmart Cities2624-65112023-11-01663192322410.3390/smartcities6060142Secure Hydrogen Production Analysis and Prediction Based on Blockchain Service Framework for Intelligent Power Management SystemHarun Jamil0Faiza Qayyum1Naeem Iqbal2Murad Ali Khan3Syed Shehryar Ali Naqvi4Salabat Khan5Do Hyeun Kim6Department of Electronic Engineering, Jeju National University, Jeju-si 63243, Republic of KoreaDepartment of Computer Engineering, Jeju National University, Jeju-si 63243, Republic of KoreaBig Data Research Center, Jeju National University, Jeju-si 63243, Republic of KoreaDepartment of Computer Engineering, Jeju National University, Jeju-si 63243, Republic of KoreaDepartment of Electronic Engineering, Jeju National University, Jeju-si 63243, Republic of KoreaBig Data Research Center, Jeju National University, Jeju-si 63243, Republic of KoreaDepartment of Computer Engineering, Jeju National University, Jeju-si 63243, Republic of KoreaThe rapid adoption of hydrogen as an eco-friendly energy source has necessitated the development of intelligent power management systems capable of efficiently utilizing hydrogen resources. However, guaranteeing the security and integrity of hydrogen-related data has become a significant challenge. This paper proposes a pioneering approach to ensure secure hydrogen data analysis by integrating blockchain technology, enhancing trust, transparency, and privacy in handling hydrogen-related information. Combining blockchain with intelligent power management systems makes the efficient utilization of hydrogen resources feasible. Using smart contracts and distributed ledger technology facilitates secure data analysis (SDA), real-time monitoring, prediction, and optimization of hydrogen-based power systems. The effectiveness and performance of the proposed approach are demonstrated through comprehensive case studies and simulations. Notably, our prediction models, including ABiLSTM, ALSTM, and ARNN, consistently delivered high accuracy with MAE values of approximately 0.154, 0.151, and 0.151, respectively, enhancing the security and efficiency of hydrogen consumption forecasts. The blockchain-based solution offers enhanced security, integrity, and privacy for hydrogen data analysis, thus advancing clean and sustainable energy systems. Additionally, the research identifies existing challenges and outlines future directions for further enhancing the proposed system. This study adds to the growing body of research on blockchain applications in the energy sector, specifically on secure hydrogen data analysis and intelligent power management systems.https://www.mdpi.com/2624-6511/6/6/142blockchainIoThydrogen productionsecure data-driven analysishistorical data management |
| spellingShingle | Harun Jamil Faiza Qayyum Naeem Iqbal Murad Ali Khan Syed Shehryar Ali Naqvi Salabat Khan Do Hyeun Kim Secure Hydrogen Production Analysis and Prediction Based on Blockchain Service Framework for Intelligent Power Management System Smart Cities blockchain IoT hydrogen production secure data-driven analysis historical data management |
| title | Secure Hydrogen Production Analysis and Prediction Based on Blockchain Service Framework for Intelligent Power Management System |
| title_full | Secure Hydrogen Production Analysis and Prediction Based on Blockchain Service Framework for Intelligent Power Management System |
| title_fullStr | Secure Hydrogen Production Analysis and Prediction Based on Blockchain Service Framework for Intelligent Power Management System |
| title_full_unstemmed | Secure Hydrogen Production Analysis and Prediction Based on Blockchain Service Framework for Intelligent Power Management System |
| title_short | Secure Hydrogen Production Analysis and Prediction Based on Blockchain Service Framework for Intelligent Power Management System |
| title_sort | secure hydrogen production analysis and prediction based on blockchain service framework for intelligent power management system |
| topic | blockchain IoT hydrogen production secure data-driven analysis historical data management |
| url | https://www.mdpi.com/2624-6511/6/6/142 |
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