About 1156 item dissertation in line with TM715,Power system planning query results,the following is 1 to 50(Search took 0.078 seconds)

  1. Research on Distribution Network Dynamic and Smart Connection System,WangYuHuai/North China Electric Power University,0/9
  2. Analysis and Research on the Typical Engineering and Optimization of Distributed Photovoltaic Power Integrated to the Distribution Network,BaiXiong/North China Electric Power University,0/173
  3. Electric Power System Short-term Load Forecasting Based on Particle Filter Algorithm,LuYan/Northeastern University,0/7
  4. The Research on Distribution Network Planning of China Mobile South Base Area Based on the Quality of Power Supply,ZhuXiaoLiang/Hunan University,0/12
  5. Optimal Planning of Microgird and Energy Storage System,YuBo/Tianjin University,0/170
  6. Load Characteristics Analysis and Forecast of Tianjin Power Grid,LeiZuo/Tianjin University,0/0
  7. Research on Spatial Load Forecast for Urban Functional Areas,XieQin/Tianjin University,0/5
  8. A Two-stage Research on Configuration Optimization of Urban Distribution Network,LiuYang/Tianjin University,0/5
  9. Research on Comprehensive Evaluation System of Medium Voltage Equipment Utilization,CaoLei/Tianjin University,0/6
  10. Chaotic Analysis for Power Load and Prediction for Chaotic Time Series,ZhangQian/Tianjin University of Technology,0/2
  11. Research of Load Combination Forecasting and Third-party Logistics in Coal Stored,XiaJingJing/Huazhong University of Science and Technology,0/8
  12. Research on the Methods and Key Technologies of Power Grid Planning,XiaoQiong/Huazhong University of Science and Technology,0/52
  13. Customer Satisfaction Index Applied to Smart Distribution Power System and the Application of It to Planning Project Decision,ChengLanFen/Huazhong University of Science and Technology,0/12
  14. Analysis of Power Load Forecasting Based on Intelligent Algorithm,XieFeng/Hebei University of Technology,0/5
  15. Short-term Load Forecasting Based on BP Neural Network in Power System,ZhaoJuanJuan/Harbin University of Science and Technology,0/30
  16. Planning Design and Optimization Research of the Urban Mid-voltage Distribution Network Engineering,ZhangJianQiang/Huaqiao University,0/3
  17. Prediction of Load Model and Its Application,XieYuan/Hunan University,0/9
  18. The Research on Optimization Planning of Distribution Network,WangFengYue/Three Gorges University,0/47
  19. Neural Network for Power Load Forecasting,LiBaoYu/Hunan University,0/39
  20. Distributed Load Forecasting Method for Distribution Network,ZhangJinFan/Hunan University,0/41
  21. Method of Large Consumer Load Forecasting and its Application,XuTianTian/Hunan University,0/48
  22. Study on the Analysis and Forecasting Methods for High Randomness Electric Load,GuoJingRen/Hunan University,0/18
  23. Research on Smart Grid Load Forecasting Platform Based on Cloud Computing,CaiJianBiao/Hunan University,0/266
  24. Analysis of Load Forecasting Credibility and its Application in Island Power System Optimal Dispatch,ZhangZhi/Hunan University,0/58
  25. Research and Application of Mid-long Term Power Load Forecasting,HouYongHui/,0/67
  26. Application Research of Gene Expression Programming in Electricity Load Prediction,WangDanDan/Hebei University of Engineering,0/32
  27. Power System Short-term Load Forecasting Based on Combined Model,WangMeng/Anhui University of Engineering,0/20
  28. Research of Urban Distribution Network Planning of Kang Logistics Park,XingBiao/Inner Mongolia University of Science and Technology,0/6
  29. Study on Relevant Issues of Power System Planning and Reconfiguration in the Environment of Energy Saving and Emission Reduction,ChenGuang/Zhejiang University,0/46
  30. Intelligent Method Based Load Forecasting Models and Application Research in Power System,LiuXiaoJuan/Donghua University,0/184
  31. Power Networks Planning of Cuiheng New District Considering the Application of20kV Voltage Level,HuangZhaoRong/South China University of Technology,0/8
  32. Optimal Planning Model and Algorithm of Distribution Network of Adapting to the Distributed Generation Access Baesd on DG States and On-line Switch,LouZongMing/Hangzhou University of Electronic Science and Technology,0/1
  33. The Smart Power Utilization Planning Research of Sino-Singapore Guangzhou Knowledge City,XuZiLi/South China University of Technology,0/19
  34. Distributed Generation Planning in Distribution Network Based on Hybrid Intelligent Algorithm by SVM-MOPSO,LiuHuangHuang/South China University of Technology,0/37
  35. Comprehensive Energy Saving Evaluation and Planning of Guilin Distribution Network,ZengJianMin/South China University of Technology,0/39
  36. Study on Monthly Load Forecasting Model of Guangdong Province,BianRuiEn/South China University of Technology,0/18
  37. Research of Local Power Network Load Forecast and Optimization in Yangjiang,XiangShang/South China University of Technology,0/19
  38. Research on Low Voltage Electric Distribution Network Planning of Area Power Grid,GaoHaoZuo/South China University of Technology,0/17
  39. Research on the Rolling Plan of Distribution Network in Jidong County for2013~2020,WangYiSheng/Jilin University,0/23
  40. Short-term Load Forecasting of Power System Based on Wavelet and Neural Network,QuanZuo/Nanchang University,0/19
  41. PingXiang City Distribution Network Planning,YeGuoJun/Nanchang University,0/10
  42. Study of Zhaoqing City High Voltage Distribution Network Development Planning,LuWenSheng/South China University of Technology,0/13
  43. Load Modeling for Residential Load Forecasting Studies,HuZhiLiang/South China University of Technology,0/4
  44. Research and Application on Lean Distribution Network Planning,XuChenZuo/Zhejiang University,0/24
  45. Comprehensive Evaluation System Research on Distribution Network Planning with Micro-grid,QiangDingJian/Zhejiang University,0/38
  46. An Algorithm for Selecting UHV Access Point and Optimal Allocation of Fault Current Limiters Based on PSO,XiaoShuai/Zhejiang University,0/8
  47. Research on Comprehensive Benefits Evaluation and System Planning of Smart Grid,SongZuo/Zhejiang University,0/25
  48. Application of Particle Swarm Algorithm in Grid Planning,XuYingWei/Liaoning University of Technology,0/20
  49. Study on Spatial Load Forecasting Method Based on the Load Density Index,YangXiuYu/Tohoku Electric Power University,0/35
  50. The Method of Spatial Load Forecasting Based on Multi-scale Spatial Resolution of Electric Load,ChaiZuoZuo/Tohoku Electric Power University,0/15

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