Power Investment Forecast Based on Classification and Regression Tree

被引：0
|
作者：
Zhou, Hua [1 ]
Lin, Shuang-qing [1 ]
Li, Ming-wei [1 ]
Shao, Xiao [1 ]
Zhou, Jian-jia [1 ]
Deng, Yan [1 ]
Tao, Qian [2 ]
机构：
[1] State Grid Corp China, Sichuan Elect Power Co, Chengdu, Sichuan, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu, Sichuan, Peoples R China
来源：
2018 INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL, AUTOMATION AND ROBOTICS (ECAR 2018) | 2018年 / 307卷
关键词：
Classification and regression tree; Grey correlation analysis; Infrastructure investment;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
There are many factors affecting the scale of power network infrastructure investment, and the traditional grey theory model method does not consider multiple features at the same time on the forecast results. In this paper, we model the prediction of infrastructure investment as the classification and regression tree building hierarchical tree structure. The validity and reasonableness of the model are verified by the calculation experiment of power network infrastructure investment. Compared to the grey theory model, this method with higher accuracy takes into account a number of features that are highly relevant to infrastructure investment.
引用
收藏
页码：581 / 585
页数：5
相关论文
共 50 条
  • [21] A Reconfiguration Strategy for Active Distribution Network Based on Classification and Regression Tree
    Gu, Songlin
    Xu, Shenglan
    Han, Liu
    Cheng, Shuyi
    Zhang, Rui
    Fang, Bo
    2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2018,
  • [22] Association Rule Classification and Regression Algorithm Based on Frequent Itemset Tree
    Wang, Ling
    Zhu, Hui
    Huang, Ruixia
    PROCEEDINGS OF THE 2018 3RD INTERNATIONAL CONFERENCE ON MODELLING, SIMULATION AND APPLIED MATHEMATICS (MSAM 2018), 2018, 160 : 133 - 139
  • [23] Tree-based classification and regression .1. Background and fundamentals
    Gunter, B
    QUALITY PROGRESS, 1997, 30 (08) : 159 - &
  • [24] Incident Duration Model on Urban Freeways Based on Classification and Regression Tree
    Zhao Xiaoqiang
    Li Ruimin
    Yu Xinxin
    ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL III, PROCEEDINGS, 2009, : 625 - 628
  • [25] Identification of insulin resistance in Asian Indian adolescents: classification and regression tree (CART) and logistic regression based classification rules
    Goel, Ruchika
    Misra, Anoop
    Kondal, Dimple
    Pandey, Ravindra M.
    Vikram, Naval K.
    Wasir, Jasjeet S.
    Dhingra, Vibha
    Luthra, Kalpana
    CLINICAL ENDOCRINOLOGY, 2009, 70 (05) : 717 - 724
  • [26] Random forest forest solar power forecast based on classification optimization
    Liu, Da
    Sun, Kun
    ENERGY, 2019, 187
  • [27] A Regional Wind Power Probabilistic Forecast Method Based on Deep Quantile Regression
    Yu, Yixiao
    Yang, Ming
    Han, Xueshan
    Zhang, Yumin
    Ye, Pingfeng
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2021, 57 (05) : 4420 - 4427
  • [28] A Regional Wind Power Probabilistic Forecast Method Based on Deep Quantile Regression
    Yu, Yixiao
    Han, Xueshan
    Yang, Ming
    Zhang, Yumin
    2020 IEEE/IAS 56TH INDUSTRIAL AND COMMERCIAL POWER SYSTEMS TECHNICAL CONFERENCE (I&CPS), 2020,
  • [29] Risk Evaluation of Power Grid Investment Based on Logistic Regression Model
    Lu, Xiaofen
    Cai, Zhanghua
    Xu, Qian
    Jin, Chuan
    Liu, Fuyan
    PROCEEDINGS OF THE 2015 3D INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY FOR EDUCATION, 2015, 11 : 263 - 266
  • [30] The power of using classification and regression tree to reduce heterogeneity in the affected sibpair analysis.
    Chen, JL
    Chang, CJ
    Fann, CSJ
    AMERICAN JOURNAL OF HUMAN GENETICS, 2001, 69 (04) : 529 - 529
12345