A framework of service-oriented operation model of China׳s power system
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DOI: 10.1016/j.rser.2015.05.041
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Cited by:
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- Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021.
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Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
- Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial Intelligence and Energy Intensity in China’s Industrial Sector: Effect and Transmission Channel," MPRA Paper 106333, University Library of Munich, Germany.
- Zhou, Kaile & Yang, Shanlin, 2016. "Understanding household energy consumption behavior: The contribution of energy big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 810-819.
- Lubing Xie & Xiaoming Rui & Shuai Li & Xiaozhao Fan & Ruijing Shi & Guohua Li, 2018. "A Critical Analysis on Influential Factors on Power Energy Resources in China," Modern Applied Science, Canadian Center of Science and Education, vol. 12(2), pages 1-1, February.
- Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2016. "Energy Internet: The business perspective," Applied Energy, Elsevier, vol. 178(C), pages 212-222.
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Keywords
Cloud Grid (CG); Power system; Cloud computing; Service-oriented model; Big data analytics;All these keywords.
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