Combination and Optimization Load Forecasting Based on Credibility

被引:0
|
作者
Chen, Jia-liang [1 ]
Hu, Shu-bo [2 ]
Zhou, Wei [2 ]
Zhao, Lin [3 ]
Yu, Jian-ming [3 ]
Shen, Guo-hui [3 ]
Sun, Jing-jie [4 ]
机构
[1] State Grid Putian Elect Power Supply Co, Putian 351100, Peoples R China
[2] Dalian Univ Technol, Sch Elect Engn, Dalian 116024, Peoples R China
[3] China Elect Power Res Inst, Beijing 100192, Peoples R China
[4] State Grid Dalian Elect Power Supply Co, Dalian 116000, Peoples R China
关键词
Combination forecasting; Credibility; Mid-long term load forecasting; Optimization forecasting; Electricity consumption forecasting;
D O I
10.1007/978-3-662-48768-6_17
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Load forecasting is based on the known history of electricity demands, and it considers political, economic, and climate factors to make forecasting for the future electricity demands. This article first analysis the trends of history power load, and then choose load forecasting methods according to the trends. Through the analysis and comparison of the load forecasting methods' credibility, assess the adaptability between forecasting methods and power load integrated. Higher credibility load forecasting methods are got through credibility sorting and then weights for each method are solved by optimization. The sorted load forecasting methods are combined together to forecast load power. Then to make the forecasting result more accuracy, after-test residue checking method is used to test the forecasting results. Forecasting electricity consumption of local actual operation power load and getting high credibility forecasting results can ensure the construction of local power grid develop with correct direction.
引用
收藏
页码:145 / 151
页数:7
相关论文
共 50 条
  • [41] Evidence combination based on the degree of credibility and falsity
    Song, Ya-Fei
    Wang, Xiao-Dan
    Lei, Lei
    Xue, Ai-Jun
    Tongxin Xuebao/Journal on Communications, 2015, 36 (05):
  • [42] Short-term load forecasting method based on combination of ANN and fuzzy control
    Xi'an Jiaotong University, 710049, Xi'an, China
    Dianli Xitong Zidonghue, 22 (39):
  • [43] Combination model for short-term load forecasting
    School of Information and Electromechanical Engineering, Shanghai Normal University, Shanghai, 0086/Shanghai, China
    Chen, Q. (hellowangchenchen@163.com), 1600, Bentham Science Publishers B.V., P.O. Box 294, Bussum, 1400 AG, Netherlands (05):
  • [44] Optimization and research of smart grid load forecasting model based on deep learning
    Zhang, Dong
    INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES, 2024, 19 : 594 - 602
  • [45] Hierarchical parameter optimization based support vector regression for power load forecasting
    Wang, Zeyu
    Zhou, Xiaojun
    Tian, Jituo
    Huang, Tingwen
    SUSTAINABLE CITIES AND SOCIETY, 2021, 71
  • [46] The Model Combination Method of Power System Load Forecasting Based on Freshness Availability Index
    Xuan Wenbo
    Song Jia
    Xiao Weidong
    Yan Dawei
    Lei Zheng
    Zhou Jin
    PROCEEDINGS OF 2017 2ND INTERNATIONAL CONFERENCE ON POWER AND RENEWABLE ENERGY (ICPRE), 2017, : 585 - 588
  • [47] Short-term load forecasting method based on combination of ANN and fuzzy control
    Zhilai, Lu
    Baohui, Zhang
    Dianli Xitong Zidonghue/Automation of Electric Power Systems, 2000, 24 (22): : 39 - 44
  • [48] Load Forecasting Accuracy through Combination of Trimmed Forecasts
    Hassan, Saima
    Khosravi, Abbas
    Jaafar, Jafreezal
    Belhaouari, Samir B.
    NEURAL INFORMATION PROCESSING, ICONIP 2012, PT I, 2012, 7663 : 152 - 159
  • [49] Daily Load Forecasting Based on a Combination of Classification and Regression Tree and Deep Belief Network
    Phyo, Pyae Pyae
    Jeenanunta, Chawalit
    IEEE ACCESS, 2021, 9 : 152226 - 152242
  • [50] Short-Term Load Forecasting Using Comprehensive Combination Based on Multimeteorological Information
    Fan, Shu
    Chen, Luonan
    Lee, Wei-Jen
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2009, 45 (04) : 1460 - 1466