嵇灵
近期热点
资料介绍
个人简历
嵇灵,女,2015年7月毕业于华北电力大学经济与管理学院,管理科学与工程专业博士,现为北京工业大学经济与管理学院管理科学与工程学科部讲师。获北京工业大学“日新人才”、“高端人才队伍建设计划优秀人才”。 近期主持课题:2018.01-2020.12:国家自然科学基金联合基金项目,雅砻江流域风光水多能互补特性分析与耦合优化建模研究2017.01-2019.12:国家自然科学基金青年项目,碳市场与电力市场交互作用下我国低碳电力发展研究2017.01-2019.12:北京市自然科学基金青年项目,基于分布式能源的北京市建筑能源互联网规划与管理决策优化研究2017.01-2018.12:北京市教委社科计划一般项目,北京市居民光伏发电激励政策及利益分配模式研究2016.03-2017.05:北京市博士后科研活动经费资助,基于数据挖掘的居民智能能量管理优化研究2015.09-2017.08:国家博士后科学基金一等资助项目,需求侧互动响应下能源互联网智能能量优化管理研究研究领域
能源系统建模与优化;不确定系统优化;能源-环境-经济近期论文
Ji L*, Huang GH. Xie YL, Zhou Y, Zhou JF. Robust cost-risk tradeoff for day-ahead schedule optimization in residential microgrid system under worst-case conditional value-at-risk consideration. Energy. 2018, 153: 324-337.Ji L*, Liu CW, Huang LC, Huang GH. The evolution of Resources Conservation and Recycling over the past 30 years: a bibliometric overview. Resources Conservation and Recycling. 2018, 134: 34-43.Ji L*, Zhang BB, Huang GH, Xie YL, Niu DX. GHG-mitigation oriented and coal-consumption constrained inexact robust model for regional energy structure adjustment – a case study for Jiangsu Province, China. Renewable Energy. 2018, 123: 549-562.Ji L*, Zhang BB, Huang GH, Xie YL, Niu DX. Explicit cost-risk tradeoff for optimal energy management in CCHP microgrid system under fuzzy-risk preferences. Energy Economics. 2018, 70: 525-535. Ji L, Sun P, Ma Q, Jiang N, Huang GH, Xie YL*. Inexact Two-Stage Stochastic Programming for Water Resources Allocation under Considering Demand Uncertainties and Response—A Case Study of Tianjin, China. Water, 2017, 9(6), 414; doi:10.3390/w9060414.Ji L*, Huang GH, Xie YL, Niu DX, Song YH. Explicit cost-risk tradeoff for renewable portfolio standard constrained regional power system expansion: a case study of Guangdong Province, China. Energy. 2017, 131: 125-136. Ji L, Liang S, Xu M*, et al. Greenhouse gas emission factors of purchased electricity from interconnected grids. Applied Energy, 2016, 184: 751-758. Ji L, Xiaoping Jia, Anthony S.F. Chiu, Ming Xu*. Global electricity trade network: structures and implications. PLOS ONE. 2016, 11(8): e0160869. doi:10.1371/journal.pone.0160869.Ji L*, Huang GH, Huang LC, Xie YL, Niu DX. Inexact stochastic risk-aversion optimal day-ahead dispatch model for electricity system management with wind power under uncertainty. Energy, 2016, 109: 920-932. Ji L*, Zhang XP Huang GH, Yin JG. Development of an inexact risk-aversion optimization model for regional carbon constrained electricity system planning under uncertainty. Energy Conversion & Management, 2015, 94: 353-364.Ji L, Niu DX*, Huang G.H. An optimization model for regional micro-grid system management based on hybrid inexact stochastic-fuzzy change-constrained programming. International Journal of Electrical Power & Energy Systems. 2015, 64: 1025-1039.Ji L, Niu DX*, Huang G.H, et al. Environmental and economic optimization model for electric system planning in Ningxia, China – An inexact stochastic risk-aversion programming approach. Mathematical Problems in Engineering. 2014.Ji L, Niu DX*, Huang G.H. An inexact two-stage stochastic robust programming for residential miro-gird management based on random demand. Energy, 2014, 67: 186-199.兼任中国“双法”研究会能源经济与管理研究分会理事、中国“双法”学会统筹分会理事。 相关热点