[1] |
蔡学文. 负荷特性多维度分析方法与典型用户筛选策略研究 [D].保定:华北电力大学,2013.
CAI X W. Thesis for the master degree research on load characteristics multi-dimension analysis method and typical consumers screening strategy [D]. Baoding:North China Electric Power University,2013. |
[2] |
刘明. 基于数据挖掘的居民峰谷分时电价的定价策略研究 [D].贵阳:贵州大学,2018.
LIU M. Research on pricing strategy of residential peak and valley Time-sharing price based on data mining [D]. Guiyang:Guizhou University,2018. |
[3] |
郇嘉嘉,左郑敏,程鑫等. 省级电网负荷特性分析方法研究 [J].机电工程技术,2018,47(2):80-85.
HUAN J J,ZUO Z M,CHENG X,et al. A method of provincial power grids load characteristics analyzing [J]. Mechanical &Electrical Engineering Technology,2018,47(2):80-85. |
[4] |
刘青宝. 模糊、动态多维数据建模理论与方法研究 [D]. 长沙:国防科学技术大学,2006.
LIU Q B. Theory and methods of fuzzy,dynamic multi-dimensional data modeling [D]. Changsha:National University of Defense Technology,2006. |
[5] |
沈吟东,张仝辉,徐甲. 基于K-means聚类算法的公交运营时段分析 [J]. 交通运输系统工程与信息,2014,14(2):87-93.
SHEN Y D,ZHANGT H,XU J. Homogeneous bus running time bands analysis based on K-means algorithms [J]. Journal of Transportation Systems Engineering and Information Technology,2014,14(2):87-93. |
[6] |
乔慧婷. 基于密度聚类的峰谷时段划分方法研究 [D]. 北京:华北电力大学(北京),2011.
QIAO H T. Research of peak and valley periods division based on density clustering [D]. Beijing:North China Electric Power University(Beijing),2011. |
[7] |
周博,王博,高松,等. 基于用户响应的分时电价模型研究 [J].智能电网,2016,4(3):307-311.
ZHOU B,WANG B,GAO S,et al. Time-of-use price model based on customer response [J]. Smart Grid,2016,4(3):307-311. |
[8] |
王若愚,谢莹华. 深圳电网负荷分类及构成分析 [J]. 南方能源建设,2015,2(3):43-46.
WANG R Y,XIE Y H. Analysis on Shenzhen grid load classification and composition [J]. Southern Energy Construction,2015,2(3):43-46. |
[9] |
李娜,王磊,张文月,等. 基于高维数据优化聚类的长周期峰谷时段划分模型研究 [J]. 现代电力,2016,33(4):67-71.
LIN,WANG L,ZHANG W Y,et al. Research on the partition model of long period peak and valley time based on high dimensional data clustering [J]. Modern Electric Power,2016,33(4):67-71. |
[10] |
黄伟,杨娟. 基于提升设备利用效益的配电网规划方案优选 [J].南方能源建设,2018,5(3):127-132+139.
HUANG W,YANG J. Research on optimal strategy of distribution network planning based on lifting the equipment utilization benefit [J].Southern Energy Construction,2018, 5(3): 127-132+139. |