机译:基于不精确的两阶段机会约束规划方法的最优CO_2排放量交易策略的识别
MOE Key Laboratory of Regional Energy Systems Optimization, S-C Resource and Environmental Research Academy, North China Electric Power University, Beijing, China;
Institute for Energy, Environment and Sustainable Communities, University of Regina, Saskatchewan, Canada Faculty of Engineering and Applied Science. University of Regina, Regina, Saskatchewan, Canada S4S 0A2;
Institute for Energy, Environment and Sustainable Communities, University of Regina, Saskatchewan, Canada Key Laboratory for Water and Sediment Sciences of Ministry of Education, School of Environment, Beijing Normal University, Beijing, China;
MOE Key Laboratory of Regional Energy Systems Optimization, S-C Resource and Environmental Research Academy, North China Electric Power University, Beijing, China;
MOE Key Laboratory of Regional Energy Systems Optimization, S-C Resource and Environmental Research Academy, North China Electric Power University, Beijing, China;
Carbon dioxide; Electricity; Emissions trading; Uncertainty; Planning;
机译:使用不精确机会约束整数程序确定流体动力系统的污染控制策略
机译:使用不精确机会约束整数程序确定流体动力系统的污染控制策略
机译:基于半无限分析的不精确两阶段随机模糊线性规划方法在水资源管理中的应用
机译:通过机会约束交流最优功率流量调度的两阶段分布式能源:二阶锥形编程方法
机译:不确定条件下固体废物管理的不精确两阶段混合整数线性规划方法的发展。
机译:多不确定条件下灌溉水资源最优分配的不精确分式规划模型
机译:使用不精确的机会约束整数计划识别流体电力系统的污染控制策略