A stochastic multi-objective optimization model for renewable energy structure adjustment management – A case study for the city of Dalian, China

[1]  Ye Xu,et al.  An optimization model under interval and fuzzy uncertainties for a by-product gas system of an iron and steel plant , 2019 .

[2]  Theodoros Anagnostopoulos,et al.  A stochastic optimization framework for planning of waste collection and value recovery operations in smart and sustainable cities. , 2018, Waste management.

[3]  Mohammad Marufuzzaman,et al.  A chance-constrained two-stage stochastic programming model for reliable microgrid operations under power demand uncertainty , 2018 .

[4]  C. Y. Chung,et al.  A Distributionally Robust Chance-Constrained MILP Model for Multistage Distribution System Planning With Uncertain Renewables and Loads , 2018, IEEE Transactions on Power Systems.

[5]  Guohe Huang,et al.  Stochastic optimization model for water allocation on a watershed scale considering wetland’s ecological water requirement , 2018, Ecological Indicators.

[6]  Fan Zhang,et al.  Inexact nonlinear improved fuzzy chance-constrained programming model for irrigation water management under uncertainty , 2018 .

[7]  Xiaowen Ding,et al.  Two-stage interval stochastic chance-constrained robust programming and its application in flood management , 2017 .

[8]  Jing Liu,et al.  An Interval Fuzzy-Stochastic Chance-Constrained Programming Based Energy-Water Nexus Model for Planning Electric Power Systems , 2017 .

[9]  F. Creutzig,et al.  The underestimated potential of solar energy to mitigate climate change , 2017, Nature Energy.

[10]  Di Wu,et al.  Uncertainty analysis for structures with hybrid random and interval parameters using mathematical programming approach , 2017 .

[11]  Mei Sun,et al.  The effect of energy construction adjustment on the dynamical evolution of energy-saving and emission-reduction system in China , 2017 .

[12]  Ye Xu,et al.  Designing management strategies for carbon dioxide storage and utilization under uncertainty using inexact modelling , 2017 .

[13]  Wei Li,et al.  A Stochastic Multi-Objective Chance-Constrained Programming Model for Water Supply Management in Xiaoqing River Watershed , 2017 .

[14]  L. Ji,et al.  An inexact cost-risk balanced model for regional energy structure adjustment management and resources environmental effect analysis-a case study of Shandong province, China , 2017 .

[15]  Zuo Zhang,et al.  A stochastic equilibrium chance-constrained programming model for municipal solid waste management of the City of Dalian, China , 2017 .

[16]  Hongyu Zhao,et al.  Inexact Multistage Stochastic Chance Constrained Programming Model for Water Resources Management under Uncertainties , 2017, Sci. Program..

[17]  Guohe Huang,et al.  Electric power system planning with renewable energy accommodation for supporting the sustainable development of Tangshan City, China , 2016 .

[18]  L. Raskin,et al.  Method of solving fuzzy problems of mathematical programming , 2016 .

[19]  V. Rajini,et al.  Cost benefit and technical analysis of rural electrification alternatives in southern India using HOMER , 2016 .

[20]  D. Niu,et al.  Analysis and Optimization of Power Supply Structure Based on Markov Chain and Error Optimization for Renewable Energy from the Perspective of Sustainability , 2016 .

[21]  Samuel Asumadu-Sarkodie,et al.  A review of renewable energy sources, sustainability issues and climate change mitigation , 2016 .

[22]  Jun Qiu,et al.  Multi-objective optimization for integrated hydro–photovoltaic power system , 2016 .

[23]  Paula Varandas Ferreira,et al.  Optimization modeling to support renewables integration in power systems , 2016 .

[24]  Guohe Huang,et al.  An inexact fixed-mix fuzzy-stochastic programming model for heat supply management in wind power heating system under uncertainty , 2016 .

[25]  Amaro O. Pereira,et al.  An optimal mix of solar PV, wind and hydro power for a low-carbon electricity supply in Brazil , 2016 .

[26]  Guohe Huang,et al.  An optimization model for regional micro-grid system management based on hybrid inexact stochastic-fuzzy chance-constrained programming , 2015 .

[27]  Lei Zhu,et al.  Estimating the Macroeconomic Costs of CO2 Emission Reduction in China Based on Multi-objective Programming , 2010 .

[28]  Gang Li,et al.  An MILP model for optimization of byproduct gases in the integrated iron and steel plant , 2010 .

[29]  Xiaosheng Qin,et al.  SRCCP: A stochastic robust chance-constrained programming model for municipal solid waste management under uncertainty , 2009 .

[30]  Y. C. Han,et al.  An Interval-Parameter Multi-stage Stochastic Chance-Constrained Mixed Integer Programming Model for Inter-basin Water Resources Management Systems under Uncertainty , 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.

[31]  M. Ruth,et al.  Regional energy demand and adaptations to climate change: Methodology and application to the state of Maryland, USA , 2006 .

[32]  Abraham Charnes,et al.  Cone ratio data envelopment analysis and multi-objective programming , 1989 .

[33]  Abraham Charnes,et al.  Response to Decision Problems Under Risk and Chance Constrained Programming: Dilemmas in the Transition , 1983 .