Items where Subject is "Energy"

Article

Gai, Chao and Shen, Wenting and Yang, Ming and Su, Ye (2023) Certificateless public auditing with data privacy preserving for cloud-based smart grid data. Frontiers in Energy Research, 10. ISSN 2296-598X

Guo, Shaobo and Liu, Guwang and Guo, Xiaoqian and Wang, Yue (2022) Game evolution and simulation analysis of power battery recycling in China under conflicting supply and demand of critical metals. Frontiers in Energy Research, 10. ISSN 2296-598X

Hatamifard, Sevil and Farajallah Hosseini, Seyed Jamal and Mirdamadi, Seyed mehdi (2023) Factors affecting the utilization of solar energy: An approach to sustainable rural development in Iran. Frontiers in Energy Research, 11. ISSN 2296-598X

Islam, Md Zahidul and Lin, Yuzhang and Vokkarane, Vinod M. and Venkataramanan, Venkatesh (2023) Cyber-physical cascading failure and resilience of power grid: A comprehensive review. Frontiers in Energy Research, 11. ISSN 2296-598X

Lu, Guanpeng and Yang, Ping and Li, Zhuangzhuang and Yang, Yi and Tang, Yufeng (2023) Optimal energy portfolio method for regulable hydropower plants under the spot market. Frontiers in Energy Research, 11. ISSN 2296-598X

Mun, Jiwon and Kim, Hyeong-Jin and Ryu, Ho Jin (2022) Analysis of fuel performance under normal operation conditions of MicroURANUS: Micro long-life lead-bismuth-cooled fast reactor. Frontiers in Energy Research, 10. ISSN 2296-598X

Rony, Zahidul Islam and Mofijur, M. and Ahmed, Shams Forruque and Kabir, Zobaidul and Chowdhury, Ashfaque Ahmed and Almomani, Fares (2022) Recent advances in the solar thermochemical splitting of carbon dioxide into synthetic fuels. Frontiers in Energy Research, 10. ISSN 2296-598X

Xing, Facai and Li, Xin and Fan, Haiwen and Zhao, Kang and Li, Shan and Li, Changgang (2023) Corrigendum: Static equivalent of distribution network with distributed PV considering correlation between fluctuation of PV and load. Frontiers in Energy Research, 11. ISSN 2296-598X

Yang, Zequn and Chen, Boshi and Chen, Hongmei and Li, Hailong (2023) A critical review on machine-learning-assisted screening and design of effective sorbents for carbon dioxide (CO2) capture. Frontiers in Energy Research, 10. ISSN 2296-598X