Vol. 61, No. 11, 2018 Cover Contents

Special Focus on Optimization for Cyber-Physical Energy Systems
LETTER Website SpringerLink Google Scholar Supplementary Cited in SCI: 1

Cyber-physical model for efficient and secured operation of CPES or energy Internet
Guan, Xiaohong; Xu, Zhanbo; Jia, Qing-Shan; Liu, Kun; Zhou, Yadong
Sci China Inf Sci, 2018, 61(11): 110201
Keywords: cyber physical energy system; energy Internet; model; secure operation; optimization
Cite as: Guan X H, Xu Z B, Jia Q S, et al. Cyber-physical model for efficient and secured operation of CPES or energy Internet. Sci China Inf Sci, 2018, 61(11): 110201, doi: 10.1007/s11432-018-9621-8

Special Focus on Optimization for Cyber-Physical Energy Systems
LETTER Website SpringerLink Google Scholar Cited in SCI: 1

Synergistic optimal operation for a combined cooling, heating and power system with hybrid energy storage
Yan, Yi; Zhang, Chenghui; Li, Ke; Hai, Xiaopeng
Sci China Inf Sci, 2018, 61(11): 110202
Keywords: Adiabatic-compressed air energy storage; A-CAES; CCHP system; Hybrid energy storage system; HESS; Synergistic optimal operation; renewable energy sources accommodation; multi-energy flow; multi-time scale
Cite as: Yan Y, Zhang C H, Li K, et al. Synergistic optimal operation for a combined cooling, heating and power system with hybrid energy storage. Sci China Inf Sci, 2018, 61(11): 110202, doi: 10.1007/s11432-018-9544-6

Special Focus on Optimization for Cyber-Physical Energy Systems
LETTER Website SpringerLink Google Scholar Supplementary Cited in SCI: 0

On distributed event-based optimization for shared economy in cyber-physical energy systems
Jia, Qing-Shan; Wu, Junjie
Sci China Inf Sci, 2018, 61(11): 110203
Keywords: cyber physical energy system; event-based optimization; distributed optimization; shared economy; electric vehicle
Cite as: Jia Q-S, Wu J J. On distributed event-based optimization for shared economy in cyber-physical energy systems. Sci China Inf Sci, 2018, 61(11): 110203, doi: 10.1007/s11432-018-9597-8

Special Focus on Optimization for Cyber-Physical Energy Systems
LETTER Website SpringerLink Google Scholar Cited in SCI: 0

Energy consumption diagnosis in the iron and steel industry via the Kalman filtering algorithm with a data-driven model
Zhang, Yanyan; Tang, Lixin; Song, Xiangman
Sci China Inf Sci, 2018, 61(11): 110204
Keywords: Energy diagnosis; LSSVM; Kalman filter; Iron and steel industry; Data-driven model
Cite as: Zhang Y Y, Tang L X, Song X M. Energy consumption diagnosis in the iron and steel industry via the Kalman filtering algorithm with a data-driven model. Sci China Inf Sci, 2018, 61(11): 110204, doi: 10.1007/s11432-018-9601-y