An AHP-Bayesian Model for Operational Risk Evaluation of Integrated Energy Systems

[1]  Wang Bo,et al.  Synergistic Scheduling in Integrated Community Energy System Considering Wind Power Accommodation , 2018 .

[2]  Ruth E. Baker,et al.  Multilevel rejection sampling for approximate Bayesian computation , 2017, Comput. Stat. Data Anal..

[3]  Zishuo Huang,et al.  Energetic and exergetic analysis of integrated energy system based on parametric method , 2017 .

[4]  Ming Zeng,et al.  Unifying the “dual-track” pricing mechanism for coal in China: Policy description, influences, and suggestions for government and generation enterprises , 2018 .

[5]  Ying Wu,et al.  Semiparametric Bayesian analysis of transformation linear mixed models , 2018, J. Multivar. Anal..

[6]  K. Gallagher China’s global energy finance: Poised to lead , 2018, Energy Research & Social Science.

[7]  P. Arunagiri,et al.  Ranking of MUDA using AHP and Fuzzy AHP algorithm , 2018 .

[8]  Zhaoxia Jing,et al.  Decentralized optimization of coordinated electrical and thermal generations in hierarchical integrated energy systems considering competitive individuals , 2018 .

[9]  M. Zeng,et al.  The power industry reform in China 2015: Policies, evaluations and solutions , 2016 .

[10]  Li Wang,et al.  Bilevel optimal coordinated control strategy for park-level integrated energy system , 2018 .

[11]  Xiaohui Guo,et al.  Coal, oil, or clean energy: Which contributes most to the low energy efficiency in China? , 2015 .

[12]  T. Agami Reddy,et al.  Sustainability of integrated energy systems: A performance-based resilience assessment methodology , 2018, Applied Energy.

[13]  Tao Jiang,et al.  Optimal energy flow and nodal energy pricing in carbon emission-embedded integrated energy systems , 2018, CSEE Journal of Power and Energy Systems.