Editorial: Optimization and data-driven approaches for energy storage-based demand response to achieve power system flexibility
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2025.1618235/full |
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| _version_ | 1849331145674588160 |
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| author | Zixuan Wang Yue Xiang Yingjun Wu Luhao Wang Chenghong Gu |
| author_facet | Zixuan Wang Yue Xiang Yingjun Wu Luhao Wang Chenghong Gu |
| author_sort | Zixuan Wang |
| collection | DOAJ |
| format | Article |
| id | doaj-art-6d88f410e9434d5ba3d707b0e96c739c |
| institution | Kabale University |
| issn | 2296-598X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj-art-6d88f410e9434d5ba3d707b0e96c739c2025-08-20T03:46:42ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2025-06-011310.3389/fenrg.2025.16182351618235Editorial: Optimization and data-driven approaches for energy storage-based demand response to achieve power system flexibilityZixuan Wang0Yue Xiang1Yingjun Wu2Luhao Wang3Chenghong Gu4School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaSchool of Energy and Electrical Engineering, Hohai University, Nanjing, ChinaSchool of Electrical Engineering, University of Jinan, Jinan, ChinaDepartment of Electronic and Electrical Engineering, University of Bath, Bath, United Kingdomhttps://www.frontiersin.org/articles/10.3389/fenrg.2025.1618235/fullenergy storagedemand responserenewable energynew power systemoptimization and data-driven |
| spellingShingle | Zixuan Wang Yue Xiang Yingjun Wu Luhao Wang Chenghong Gu Editorial: Optimization and data-driven approaches for energy storage-based demand response to achieve power system flexibility Frontiers in Energy Research energy storage demand response renewable energy new power system optimization and data-driven |
| title | Editorial: Optimization and data-driven approaches for energy storage-based demand response to achieve power system flexibility |
| title_full | Editorial: Optimization and data-driven approaches for energy storage-based demand response to achieve power system flexibility |
| title_fullStr | Editorial: Optimization and data-driven approaches for energy storage-based demand response to achieve power system flexibility |
| title_full_unstemmed | Editorial: Optimization and data-driven approaches for energy storage-based demand response to achieve power system flexibility |
| title_short | Editorial: Optimization and data-driven approaches for energy storage-based demand response to achieve power system flexibility |
| title_sort | editorial optimization and data driven approaches for energy storage based demand response to achieve power system flexibility |
| topic | energy storage demand response renewable energy new power system optimization and data-driven |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2025.1618235/full |
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