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
来源
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND AUTOMATIC CONTROL | 2016年 / 367卷
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
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