Index system of power sale market analysis and forecasting

被引:0
|
作者
Hu, Jiangyi [1 ]
Jia, Junguo [1 ]
Lin, Hongyu [1 ]
Zhuang, Yan [2 ]
Kang, Chongqing [2 ]
机构
[1] State Grid Corporation of China, Beijing 100031, China
[2] State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
关键词
Competition; -; Commerce; Concentration; (process); Forecasting;
D O I
暂无
中图分类号
F4 [工业经济];
学科分类号
0202 ; 020205 ;
摘要
In view of the needs for market sales analysis by transmission network service providers, a comprehensive index system is proposed which can be used to analyse the market trends and sales effectiveness. This index system is primarily based on analytical theme and supplemented by time sequential information for construction purpose. In view of analytical theme, it can be classified into four major parts, including market environment, management analysis, market forecasting and post-analysis. Based on time sequential information, it can be classified into already happened, yet to happen and post-evaluation. The index system considers current research and practice. It also includes some newly developed indices featuring in marketing, including market share, market concentration rate, key customer discerning and business process tracking, etc. It aims at giving a comprehensive, thorough assessment of the development status of power sale market. The index system has formed a solid basis for the power sale market analysis, forecasting report, and the corresponding software system of State Grid Company of China, providing a standardized, scientific and efficient tool for power marketing analysis, operations and management. This work is supported by Program for New Century Excellent Talents in University (No.NCET-07-0484) and the Fok Ying-Tong Education Foundation (No.104020).
引用
收藏
页码:10 / 14
相关论文
共 50 条
  • [41] Application of Deep Learning in Stock Market Valuation Index Forecasting
    Li, Ge
    Xiao, Ming
    Guo, Ying
    PROCEEDINGS OF 2019 IEEE 10TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2019), 2019, : 551 - 554
  • [42] Forecasting of dependence, market, and investment risks of a global index portfolio
    Hernandez, Jose Arreola
    Al Janabi, Mazin A. M.
    JOURNAL OF FORECASTING, 2020, 39 (03) : 512 - 532
  • [43] Stock Market Volatility and the Forecasting Performance of Stock Index Futures
    Wang, Janchung
    JOURNAL OF FORECASTING, 2009, 28 (04) : 277 - 292
  • [44] Volatility forecasting and the efficiency of the Toronto 35 index options market
    Doidge, C
    Wei, JZ
    CANADIAN JOURNAL OF ADMINISTRATIVE SCIENCES-REVUE CANADIENNE DES SCIENCES DE L ADMINISTRATION, 1998, 15 (01): : 28 - 38
  • [45] Forecasting the volatility of Chinese stock market: An international volatility index
    Lei, Likun
    Zhang, Yaojie
    Wei, Yu
    Zhang, Yi
    INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2021, 26 (01) : 1336 - 1350
  • [46] Power market price forecasting: Pitfalls and unresolved issues
    Earle, RL
    Graves, FC
    Hanser, PQ
    TECHNOLOGY'S CRITICAL ROLE IN ENERGY & ENVIRONMENTAL MARKETS, CONFERENCE PROCEEDINGS, 1998, : 29 - 38
  • [47] Electricity Market Price Forecasting for a High Renewable Penetrated Power System via Random Forest
    Xu, Keqi
    Sun, Beibei
    Wang, Peng
    Zhu, Zhizhong
    Tang, Huidi
    2022 IEEE/IAS 58TH INDUSTRIAL AND COMMERCIAL POWER SYSTEMS TECHNICAL CONFERENCE (I&CPS), 2022,
  • [48] The power of investors' optimism and pessimism in oil market forecasting
    Mustanen, Dmitri
    Maaitah, Ahmad
    Mishra, Tapas
    Parhi, Mamata
    ENERGY ECONOMICS, 2022, 114
  • [49] Power Market Price Forecasting via Deep Learning
    Zhu, Yongli
    Dai, Renchang
    Liu, Guangyi
    Wang, Zhiwei
    Lu, Songtao
    IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2018, : 4935 - 4939
  • [50] Valuing wind power project on renewable electricity whole-sale tariff in power market
    Sheen, J. N.
    MECHANICAL ENGINEERING, MATERIALS AND ENERGY III, 2014, 483 : 664 - 667