bevictor伟德官网
College of Economics and Management

陸青

“電力工程經濟與管理”學術碩士點導師/“管理科學與工程”學術碩士點導師/“工程管理”專業碩士點導師

 

陸青
副教授
管理科學與工程系

luq1982@qq.com

研究方向:綜合能源、需求響應、智能用電和智能算法



個人簡介:

陸青,管理科學與工程專業和工程管理專業導師,男,1982年4月出生,博士,副教授。2004年畢業于合肥工業大學管理學院信息管理與信息系統專業,獲管理學學士學位;2009年畢業于合肥工業大學管理學院管理科學與工程專業,獲管理學博士學位。2009年8月至今,在bevictor伟德官网從事教學和科研工作。曾獲合肥工業大學“優秀畢業生”和安徽省雙優畢業生。主要研究方向為綜合能源、需求響應、智能用電和智能算法,在國内外權威期刊和會議發表學術論文20多篇,其中SCI檢索15篇,EI檢索5篇。主持國家自然科學基金青年項目1項、教育部人文社會科學研究項目2項、上海高校選拔培養優秀青年教師科研專項基金1項、上海市教委科研創新一般項目1項,參與國家自然科學基金和上海哲學社會科學基金項目各2項。

 

聯系方式:

郵箱:luq1982@qq.com

辦公地點:臨港校區經外樓A302

 

研究領域:

綜合能源、需求響應、智能用電和智能算法

 

科研及獲獎情況:

[1]      教育部人文社會科學研究項目“家庭綜合能源系統優化運行及其幹擾管理研究”,2025.1.1 – 2027.12.3110萬,主持

[2]      教育部人文社會科學研究項目“用能行為偏好影響下的家庭能源管理優化模型與節能策略研究”,No. 20YJCZH1082020.1.1 – 2022.12.318萬,主持

[3]      國家自然科學基金項目“家庭智能用電任務調度優化及其對電網負荷影響分析模型”,No.515070992016.1.1 – 2018.12.3120萬,主持

[4]      上海市教委科研創新一般項目“智能用電下家庭用戶智能用電行為分析及行為偏好獲取研究”,No. 14YS0942014.1.1 – 2016.12.313萬,主持

[5]      上海高校選拔培養優秀青年教師科研專項基金項目“面向隐性目标決策問題的IEC決策方法與策略研究”,No.sdl100212011.1.1 – 2012.12.313萬,主持

[6]      國家自然科學基金項目面向社會網絡基于語義偏好和信任引導的群體推薦方法研究No.716011092017.1.1-2019.12.3117萬元,排名第3

[7]      上海市哲學社會科學規劃課題面向社會化商務客戶關系管理的群體推薦方法研究No.2016EGL0012017.1.1-2019.12.314萬元,排名第2

 

代表性論著:

[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一區

[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一區

[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一區

[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一區

[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二區

[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二區

[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二區

[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一區

[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一區

[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二區

[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一區

[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二區

[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一區

[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一區

[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一區

[16]  陸青, 郁浩, 冷亞軍, 侯建朝, 謝品傑. 家庭智能用電任務調度優化模型及其算法研究[J]. 中國電機工程學報, 2018, 38(13): 3826-3836. EI檢索:20183905860740

[17]  陸青, 郁浩, 趙康麗, 冷亞軍. 分時電價下基于供用電雙方博弈的家庭用戶需求響應[J].現代電力, 2019, 36(6): 68-74. (北大核心)

[18]  陸青, 張治新, 冷亞軍, 呂帥康. 計及光伏儲能的家庭智能用電系統調度模型[J]. 智慧電力, 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檢索:20194207534142

[20]  張治新, 陸青, 張世翔. 國内綜合能源服務發展趨勢與策略研究[J]. 浙江電力, 2019, 38(2):1-6.

[21]  陸青, 謝品傑, 冷亞軍, 侯建朝, 孫波. 面向家庭智能用電的用電任務調度優化[J]. 華東電力, 2014, 42(5): 816-821. (北大核心)

[22]  陸青, 謝品傑, 冷亞軍, 侯建朝. 可降低負荷峰值的智能用電任務調度優化[J]. 電氣應用, 2014, 33(20): 32-35.(北大核心)

[23]  陸青, 謝品傑, 孫波. 基于共享機制的自适應混合遺傳算法[J]. 計算機仿真, 2012, 29(12): 274-278. (北大核心)

[24]  陸青, 梁昌勇, 楊善林, 張俊嶺. 面向多模态函數優化的自适應小生境遺傳算法[J]. 模式識别與人工智能, 2009, 22(1): 91-100. EI檢索:20091512023227

[25]  陸青, 梁昌勇, 張恩橋. 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檢索:20083911600230

[26]  陸青, 梁昌勇, 黃永青, 張俊嶺. 面向旅遊行程規劃的交互式多智能體遺傳算法[J]. 計算機應用研究, 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檢索:20152600978102





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