“电力工程经济与管理”学术硕士点导师/“管理科学与工程”学术硕士点导师/“工程管理”专业硕士点导师
个人简介: 陆青,管理科学与工程专业和工程管理专业导师,男,1982年4月出生,博士,副教授。2004年毕业于合肥工业大学管理学院信息管理与信息系统专业,获管理学学士学位;2009年毕业于合肥工业大学管理学院管理科学与工程专业,获管理学博士学位。2009年8月至今,在9778818威尼斯从事教学和科研工作。曾获合肥工业大学“优秀毕业生”和安徽省双优毕业生。主要研究方向为综合能源、需求响应、智能用电和智能算法,在国内外权威期刊和会议发表学术论文20多篇,其中SCI检索15篇,EI检索5篇。主持国家自然科学基金青年项目1项、教育部人文社会科学研究项目2项、上海高校选拔培养优秀青年教师科研专项基金1项、上海市教委科研创新一般项目1项,参与国家自然科学基金和上海哲学社会科学基金项目各2项。
联系方式: 邮箱:luq1982@qq.com 办公地点:临港校区经外楼A302
研究领域: 综合能源、需求响应、智能用电和智能算法
科研及获奖情况: [1] 教育部人文社会科学研究项目“家庭综合能源系统优化运行及其干扰管理研究”,2025.1.1 – 2027.12.31,10万,主持 [2] 教育部人文社会科学研究项目“用能行为偏好影响下的家庭能源管理优化模型与节能策略研究”,No. 20YJCZH108,2020.1.1 – 2022.12.31,8万,主持 [3] 国家自然科学基金项目“家庭智能用电任务调度优化及其对电网负荷影响分析模型”,No.51507099,2016.1.1 – 2018.12.31,20万,主持 [4] 上海市教委科研创新一般项目“智能用电下家庭用户智能用电行为分析及行为偏好获取研究”,No. 14YS094,2014.1.1 – 2016.12.31,3万,主持 [5] 上海高校选拔培养优秀青年教师科研专项基金项目“面向隐性目标决策问题的IEC决策方法与策略研究”,No.sdl10021,2011.1.1 – 2012.12.31,3万,主持 [6] 国家自然科学基金项目“面向社会网络基于语义偏好和信任引导的群体推荐方法研究”,No.71601109,2017.1.1-2019.12.31,17万元,排名第3 [7] 上海市哲学社会科学规划课题“面向社会化商务客户关系管理的群体推荐方法研究”,No.2016EGL001,2017.1.1-2019.12.31,4万元,排名第2
代表性论著: [1] Qing Lu, Huaxin Fang. Promoting low-carbon development in Yangtze River Delta area in China through the lens of decarbonization of industrial gas producers: A case study based on evolutionary game and Lotka-Volterra models[J]. Technological Forecasting and Social Change, 2024, 207: 123594. SCI一区 [2] Qing Lu, Huaxin Fang, Jianchao Hou. The impact of energy supply side on the diffusion of low-carbon transformation on energy demand side under low-carbon policies in China[J]. Energy, 2024, 307: 132817. SCI一区 [3] Qing Lu, Minzhe Liu. A multi-criteria compromise ranking decision-making approach for analysis and evaluation of community-integrated energy service system [J]. Energy, 2024, 306: 132439. SCI一区 [4] Qing Lu, Huaxin Fang, Jianchao Hou. Renewable portfolio development in parallel with green industrial development policies towards the decarbonization targets of industrial gas producers in China [J]. Journal of Cleaner Production, 2024, 460: 142501. SCI一区 [5] Qing Lu, Qisheng Guo, Wei Zeng. Optimal dispatch of community integrated energy system based on Stackelberg game and integrated demand response under carbon trading mechanism [J]. Applied Thermal Engineering, 2023, 219: 119508. SCI二区 [6] Qing Lu, Wei Zeng, Qisheng Guo, Shuaikang Lü. Optimal operation scheduling of household energy hub: A multi-objective optimization model considering integrated demand response [J]. Energy Reports, 2022, 8: 15173-15188. SCI二区 [7] Qing Lu, Qisheng Guo, Wei Zeng. Optimization scheduling of home appliances in smart home: A model based on a niche technology with sharing mechanism [J]. International Journal of Electrical Power & Energy Systems, 2022, 141: 108126. SCI二区 [8] Qing Lu, Qisheng Guo, Wei Zeng. Optimization scheduling of integrated energy service system in community: A bi-layer optimization model considering multi-energy demand response and user satisfaction [J]. Energy, 2022, 252: 124063. SCI一区 [9] Qing Lu, Yufeng Zhang. A multi-objective optimization model considering users’ satisfaction and multi-type demand response in dynamic electricity price [J]. Energy, 2022, 240: 122504. SCI一区 [10] Qing Lu, Yufeng Zhang. Demand response strategy of game between power supply and power consumption under multi-type user mode [J]. International Journal of Electrical Power & Energy Systems, 2022, 134: 107348. SCI二区 [11] Qing Lu, Qisheng Guo, Wei Zeng. Optimization scheduling of an integrated energy service system in community under the carbon trading mechanism: A model with reward-penalty and user satisfaction [J]. Journal of Cleaner Production. 2021, 323: 129171. SCI一区 [12] Qing Lu, Zhixin Zhang, Shuaikang Lü. Home energy management in smart households: Optimal appliance scheduling model with photovoltaic energy storage system [J]. Energy Reports, 2020, 6: 2450-2462. SCI二区 [13] Qing Lu, Shuaikang Lü, Yajun Leng, Zhixin Zhang. Optimal household energy management based on smart residential energy hub considering uncertain behaviors [J]. Energy, 2020, 195: 117052. SCI一区 [14] Qing Lu, Shuaikang Lü, Yajun Leng. A Nash-Stackelberg game approach in regional energy market considering users’ integrated demand response [J]. Energy, 2019, 175: 456-470. SCI一区 [15] Qing Lu, Hao Yu, Kangli Zhao, Yajun Leng, Jianchao Hou, Pinjie Xie. Residential demand response considering distributed PV consumption: A model based on China’s PV policy [J]. Energy, 2019, 172: 443-456. SCI一区 [16] 陆青, 郁浩, 冷亚军, 侯建朝, 谢品杰. 家庭智能用电任务调度优化模型及其算法研究[J]. 中国电机工程学报, 2018, 38(13): 3826-3836. (EI检索:20183905860740) [17] 陆青, 郁浩, 赵康丽, 冷亚军. 分时电价下基于供用电双方博弈的家庭用户需求响应[J].现代电力, 2019, 36(6): 68-74. (北大核心) [18] 陆青, 张治新, 冷亚军, 吕帅康. 计及光伏储能的家庭智能用电系统调度模型[J]. 智慧电力, 2019, 47(12): 30-36. (北大核心) [19] Qing Lu, Zhixin Zhang. A Genetic Algorithm Regression Model for the Mid-long Term of China's Electricity Consumption [C]. In: Proceedings of the 31th Chinese Control and Decision Conference (2019 CCDC), Nanchang, China, 2019, 4776-4782. (EI检索:20194207534142) [20] 张治新, 陆青, 张世翔. 国内综合能源服务发展趋势与策略研究[J]. 浙江电力, 2019, 38(2):1-6. [21] 陆青, 谢品杰, 冷亚军, 侯建朝, 孙波. 面向家庭智能用电的用电任务调度优化[J]. 华东电力, 2014, 42(5): 816-821. (北大核心) [22] 陆青, 谢品杰, 冷亚军, 侯建朝. 可降低负荷峰值的智能用电任务调度优化[J]. 电气应用, 2014, 33(20): 32-35.(北大核心) [23] 陆青, 谢品杰, 孙波. 基于共享机制的自适应混合遗传算法[J]. 计算机仿真, 2012, 29(12): 274-278. (北大核心) [24] 陆青, 梁昌勇, 杨善林, 张俊岭. 面向多模态函数优化的自适应小生境遗传算法[J]. 模式识别与人工智能, 2009, 22(1): 91-100. (EI检索:20091512023227) [25] 陆青, 梁昌勇, 张恩桥. A Dynamic Sharing Scheme-based Multimodal Niche Genetic Algorithm. The 7th World Congress on Intelligent Control and Automation (WCICA2008), Chongqing, China, 2008, 5333-5338. (EI检索:20083911600230) [26] 陆青, 梁昌勇, 黄永青, 张俊岭. 面向旅游行程规划的交互式多智能体遗传算法[J]. 计算机应用研究, 2008, 25(11): 3311-3313. [27] Lu Qing, Leng Yajun, Xie Pinjie, Sun Bo. An Intelligent Task Scheduling Algorithm of Electricity Consumption for Reducing the Load Peak[C]. In: Proceedings of the 11th World Congress on Intelligent Control and Automation (WCICA2014), Shenyang, China, 2014, 5014-5019. (EI检索:20152600978102) |