Research progress, trends and prospects of big data technology for new energy power and energy storage system
The development of new energy industry is an essential guarantee for the sustainable development of society, and big data technology can enable new energy industrialization. Firstly, this paper presents an in-depth analysis and discussion of big data technology in new energy power and energy storage...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Energy Reviews |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772970223000238 |
| _version_ | 1797235467372986368 |
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| author | Jichao Hong Fengwei Liang Haixu Yang |
| author_facet | Jichao Hong Fengwei Liang Haixu Yang |
| author_sort | Jichao Hong |
| collection | DOAJ |
| description | The development of new energy industry is an essential guarantee for the sustainable development of society, and big data technology can enable new energy industrialization. Firstly, this paper presents an in-depth analysis and discussion of big data technology in new energy power and energy storage systems. Furthermore, the current status of big data technology application is discussed based on power generation, grid and user side, while future development trends are proposed based on the characteristics of big data technology. Finally, a comprehensive cloud-platform-based new energy power and energy storage system is proposed, which efficiently combines new energy power generation, consumption, and transmission sides to optimize energy allocation and improve energy utilization efficiency. This paper aims to provide certain guidance significance for new energy research and application. |
| first_indexed | 2024-04-24T16:48:25Z |
| format | Article |
| id | doaj.art-6edf924afd9e4a25b0193f3326dcb8c3 |
| institution | Directory Open Access Journal |
| issn | 2772-9702 |
| language | English |
| last_indexed | 2024-04-24T16:48:25Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reviews |
| spelling | doaj.art-6edf924afd9e4a25b0193f3326dcb8c32024-03-29T05:51:30ZengElsevierEnergy Reviews2772-97022023-09-0123100036Research progress, trends and prospects of big data technology for new energy power and energy storage systemJichao Hong0Fengwei Liang1Haixu Yang2School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China; Shunde Innovation School of University of Science and Technology Beijing, Foshan, Guangdong, 528000, China; Corresponding author. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China.School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China; Shunde Innovation School of University of Science and Technology Beijing, Foshan, Guangdong, 528000, ChinaSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China; Shunde Innovation School of University of Science and Technology Beijing, Foshan, Guangdong, 528000, ChinaThe development of new energy industry is an essential guarantee for the sustainable development of society, and big data technology can enable new energy industrialization. Firstly, this paper presents an in-depth analysis and discussion of big data technology in new energy power and energy storage systems. Furthermore, the current status of big data technology application is discussed based on power generation, grid and user side, while future development trends are proposed based on the characteristics of big data technology. Finally, a comprehensive cloud-platform-based new energy power and energy storage system is proposed, which efficiently combines new energy power generation, consumption, and transmission sides to optimize energy allocation and improve energy utilization efficiency. This paper aims to provide certain guidance significance for new energy research and application.http://www.sciencedirect.com/science/article/pii/S2772970223000238New energyEnergy storageBig dataEnergy allocationEnergy utilization |
| spellingShingle | Jichao Hong Fengwei Liang Haixu Yang Research progress, trends and prospects of big data technology for new energy power and energy storage system Energy Reviews New energy Energy storage Big data Energy allocation Energy utilization |
| title | Research progress, trends and prospects of big data technology for new energy power and energy storage system |
| title_full | Research progress, trends and prospects of big data technology for new energy power and energy storage system |
| title_fullStr | Research progress, trends and prospects of big data technology for new energy power and energy storage system |
| title_full_unstemmed | Research progress, trends and prospects of big data technology for new energy power and energy storage system |
| title_short | Research progress, trends and prospects of big data technology for new energy power and energy storage system |
| title_sort | research progress trends and prospects of big data technology for new energy power and energy storage system |
| topic | New energy Energy storage Big data Energy allocation Energy utilization |
| url | http://www.sciencedirect.com/science/article/pii/S2772970223000238 |
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