王建军（华北电力大学经济与管理学院）_百科资料

简介

2011年博士毕业留校从事教学和科研工作以来，发表电力负荷预测、电力能源经济建模分析以及数据挖掘方向相关主要论文20多篇，其中被SCI、EI收录数十篇。独著《智能挖掘电力负荷预测研究及应用》一部，合作翻译著作1部。

工作经历

2016.12-2017.12，美国普渡大学访问学者

2015.03-至今，华北电力大学经济与管理学院信息管理教研室，副教授

2011.07-2015.02，华北电力大学经济与管理学院信息管理教研室，讲师

研究方向

1、电力负荷预测理论及其应用

2、电力能源经济系统仿真建模

3、数据挖掘及信息管理

4、电力技术经济评价

负责项目

国家自然科学基金青年项目：节能减排下考虑大规模清洁能源发电的电源结构拟境演化机理研究

北京市哲学社科项目：促进京津冀地区能源密集型产业清洁化转型的差别电价机制研究

中央高校基本科研业务费专项资金资助项目：智能电网环境下的自适互动智能电力预测研究

学术论文

1.Wang J, Li L, Liu D. Application of SYR with backtracking search algorithm for long-term load forecasting. Journal of Intelligent & Fuzzy Systems. 2016;31(4):2341-7.

2.Wang J, Li L. Sustainable energy development scenario forecasting and energy saving policy analysis of China. Renewable & Sustainable Energy Reviews. 2016;58:718-24.

3.Wang J, Li L. Research on the College Graduate Employment Education Based on Data Mining Technology. Anthropologist. 2016;23(1-2):231-5.

4.Wang J, Li C, Zhang S. Big Data Impact Analysis of Smart Grid based on AHP method. In: Jiang ZY, editor. Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering. AER-Advances in Engineering Research. 322016. p. 1487-90.

5.Wang J, Li C, Ma T. Performance evaluation of intelligent distribution network based on big data and cloud computing. Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia. 2016;39(6):323-31.

6.Wang J, Cunbin L. Design of an online monitoring system for intelligent power network based on cloud computing technology. International Journal of Simulation: Systems, Science and Technology. 2016;17(39):9.1-9.6.

7.齐霞, 王绵斌, 张妍, 王建军, 张晓曼. 高维小样本条件下的变电工程造价预测研究. 湘潭大学自然科学学报. 2016(04):112-5.

8.安磊,张洁,齐霞,王建军,李杰.基于随机森林输电线路工程造价估算研究.控制工程.2016(11):1841-4.

9.安磊, 王绵斌, 耿鹏云, 杨阳, 王建军. “营改增”对电网工程造价的影响及实证分析. 陕西电力. 2016(12):56-61.

10.Wang J, Li L. Computation effects of restructuring China's energy intensive industries CO2emissions based on STRIPAT model. Journal of Computational and Theoretical Nanoscience. 2015;12(12):6260-4.

11.Li L, Wang J. Uncertain Engineering Critical Path Solving Method Based on Interval Number theory. In: Chang L, Guiran C, Zhen L, editors. Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering. AER-Advances in Engineering Research. 82015. p. 1409-12.

12.Li L, Wang J. The Effects of Coal Switching and Improvements in Electricity Production Efficiency and Consumption on CO2 Mitigation Goals in China. Sustainability. 2015;7(7):9540-59.

13.李莉, 王建军. 高耗能行业结构调整和能效提高对我国CO_2排放峰值的影响——基于STIRPAT模型的实证分析. 生态经济. 2015(08):74-9.

14.耿鹏云, 齐霞, 尹冰冰, 李杰, 王建军. 输变电工程基本预备费费率测算模式与方法研究. 陕西电力. 2015(10):58-61.

15.范松丽, 苑仁峰, 艾芊, 贺兴, 徐意婷. 欧洲超级电网计划及其对中国电网建设启示. 电力系统自动化. 2015(10):6-15.

16.Wang J, Li L, Zhang F, Xu Q. Carbon Emissions Abatement Cost in China: Provincial Panel Data Analysis. Sustainability. 2014;6(5):2584-600.

17.Wang J, Li L. Using STIRPAT Model to Analyze Impact Factors on CO2 Emissions of China. International Joint Conference on Applied Mathematics, Statistics and Public Administration (Amspa 2014). 2014:1-5.

18.Wang J, Li L. The Scenario forecasting analysis of CO2 emissions of China. In: Xu Q, Li H, Li Q, editors. Sustainable Development of Industry and Economy, Pts 1 and 2. Advanced Materials Research. 869-8702014. p. 836-9.

19.Wang J, Li L. Empirical analysis on relation between electricity consumption and carbon emission based on stochastic impacts by regression on population, affluence and technology model. Dianwang Jishu/Power System Technology. 2014;38(3):628-32.

20.Li L, Wang J, Zhang J, Yun X, Ge X. Examining the effects of electrification on improving the COinf2/inf emission intensity of GDP in Beijing from 1996 to 2012. Energy Education Science and Technology Part A: Energy Science and Research. 2014;32(6):5961-78.

21.Li L, Wang J, Tan Z, Ge X, Zhang J, Yun X. Policies for eliminating low-efficiency production capacities and improving energy efficiency of energy-intensive industries in China. Renewable & Sustainable Energy Reviews. 2014;39:312-26.

22.王建军, 李莉. 基于随机性环境影响评估模型的电力消费和碳排放关系实证分析. 电网技术. 2014(03):628-32.

23.马同涛, 李存斌, 王建军. 配电网运行风险的动态评估组合模型. 华东电力. 2014(06):1109-14.

24.李存斌, 马同涛, 王建军. 我国阶梯电价改革的长期影响及动态调整分析. 陕西电力. 2014(10):28-32+58.

25.Wang J, Li L. A combined forecasting method of wind power capacity with differential evolution algorithm. Energy Education Science and Technology Part A: Energy Science and Research. 2013;31(4):2545-56.

26.Wang J, Li L, Niu D, Tan Z. An annual load forecasting model based on support vector regression with differential evolution algorithm. Applied Energy. 2012;94:65-70.

27.Niu D, Ji L, Xing M, Wang J. Multi-variable echo state network optimized by Bayesian regulation for daily peak load forecasting. Journal of Networks. 2012;7(11):1790-5.

28.Tan Z, Li L, Wang J, Wang J. Examining the driving forces for improving China's CO2 emission intensity using the decomposing method. Applied Energy. 2011;88(12):4496-504.

29.Niu D, Wang J, Li L. A Combined Middle-long Load Forecasting Model Base on Differential Evolution Method. In: Luo Q, Wang YZ, editors. Advanced Materials Science and Technology, Pts 1-2. Advanced Materials Research. 181-1822011. p. 594-8.

30.Li L, Wang J, Li N, Tan Z, An J. A risk investment portfolio optimization model of energy efficiency power plant based on mean semi-variance theory in low-carbon economy environment. Dianwang Jishu/Power System Technology. 2011;35(8):26-9.

31.Li J, Liu J, Wang J. Mid-long term load forecasting based on simulated annealing and SVM algorithm. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering. 2011;31(16):63-6.

32.王建军，牛东晓，李莉，谭忠富. 电力需求侧响应利益联动机制的系统动力学模拟分析. 系统工程理论与实践. 2011;31(12):2287-95.

33.王建军, 李莉, 谭忠富, 牛东晓. 电力需求侧响应利益联动机制的系统动力学模拟. 系统工程理论与实践. 2011(12):2287-95.

34.李莉, 王建军, 李宁, 谭忠富, 安建强. 低碳经济下能效电厂的半方差风险投资组合优化模型. 电网技术. 2011(08):26-9.

35.李瑾, 刘金朋, 王建军. 采用支持向量机和模拟退火算法的中长期负荷预测方法. 中国电机工程学报. 2011(16):63-6.

36.Wang J, Niu D, Li L. Middle-long term load forecasting based on dynamic architecture for artificial neural network. Journal of Information and Computational Science. 2010;7(8):1711-7.

37.Niu D, Tang H, Wang J. Evaluation of Electric Network Intelligence Developing Level Based on SVM Method. Zhou D, Du ZY, editors2010. 201-4 p.

38.王建军. 智能电网环境下的自适互动智能负荷预测研究. 陕西电力. 2010(05):11-5.

39.李莉, 谭忠富, 李宁, 王建军, 张明文. 煤电差价合约及其合作效益优化分配的博弈模型. 中国管理科学. 2010(04):133-9.

40.李莉, 谭忠富, 李宁, 王建军, 候勇. 几种发电排污权初始分配模式的对比研究. 华东电力. 2010(11):1789-93.

41.Niu D, Wang J, Li L, Li C. Short-term load forecasting using adaptive ANN based on rough set and decision tree. Dianli Zidonghua Shebei / Electric Power Automation Equipment. 2009;29(10):30-4.

42.Niu D, Wang J. Combination of text mining and corrective neural network in short-term load forecasting. Journal of Computers. 2009;4(12):1188-94.

43.王建军, 牛东晓, 李莉. 基于相似度与神经网络的协同短期负荷预测模型. 华东电力. 2009(01):64-6.

44.谭忠富, 李莉, 王建军, 姜海洋, 王成文. 多智能体代理下电力双边谈判中的模糊贝叶斯学习模型. 中国电机工程学报. 2009(07):106-13.

45.牛东晓, 王建军, 李莉, 李存斌. 基于粗糙集和决策树的自适应神经网络短期负荷预测方法. 电力自动化设备. 2009(10):30-4.

46.李莉, 谭忠富, 王建军, 姜海洋, 候建英, 王成文. 可中断负荷参与备用市场下的可靠性风险电价计算模型. 电网技术. 2009(04):81-7.

47.Li C, Wang J, Li L, Liu X, Ieee Computer SOC. Triangular fuzzy number method for measuring risk element criticality by Credibility degree in project network2008. 498-501 p.

48.Li C, Wang J, Li L, Liu X, editors. Triangular fuzzy number method for measuring risk element criticality by Credibility degree in project network. 2008 International Conference on Risk Management and Engineering Management, ICRMEM 2008, November 4, 2008 - November 6, 2008; 2008; Beijing, China: Inst. of Elec. and Elec. Eng. Computer Society.

49.Li C, Liu X, Wang J, Ieee. Network Structure to Tree Structure: A New Method of Project Risk Management Decision2008. 10477-80 p.

50.Li C, Liu X, Wang J, editors. Network structure to tree structure: A new method of project risk management decision. 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, October 12, 2008 - October 14, 2008; 2008; Dalian, China: Inst. of Elec. and Elec. Eng. Computer Society.

51.Li C, Li Y, Wang J, Wang K. A tetrahedron structure model of enterprise project chain risk transmission and control. Wu D, Niu D, editors2008. 13-6 p.

52.李莉, 谭忠富, 王建军, 柏慧, 王成文. 电网企业购买电能与电力备用的MSV风险控制方法. 中国管理科学. 2008(03):109-15.

53.李存斌, 王建军, 李莉. 项目经济评价中NPV和IRR的风险传递关系研究. 技术经济. 2008(08):57-60.

54.Li C, Wang J, Univ Academic Press T. The research of hierarchical risk element transmission theory base on fuzzy extended AHP2007. 129-33 p.

55.Li C, Wang J, editors. The research on hierarchical risk element transmission theory based on fuzzy theory and data mining. 4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007, August 24, 2007 - August 27, 2007; 2007; Haikou, China: Institute of Electrical and Electronics Engineers Inc.

56.Li C, Wang J. The research on hierarchical risk element transmission theory based on fuzzy theory and data mining. Lei J, Yu J, Zhou SG, editors2007. 433-7 p.

57.Li C, Wang J, editors. The research on generic project risk element network transmission parallel computing model. 2nd International Symposium on Intelligence Computation and Applications, ISICA 2007, September 21, 2007 - September 23, 2007; 2007; Wuhan, China: Springer Verlag.

58.Li C, Wang J. The research on generic project risk element network transmission parallel computing model. In: Kang L, Liu Y, Zeng S, editors. Advances in Computation and Intelligence, Proceedings. Lecture Notes in Computer Science. 46832007. p. 539-+.