Knowledge extraction model for power load characteristics of special days and extreme weather

Author

Quansheng, Dou ; Guanyu, Pan ; Zhongzhi, Shi ; Bin, Yang

Author_Institution

Sch. of Comput. Sci. & Technol., Shandong Inst. of Bus. & Technol., Yantai, China

Volume

1

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

496

Lastpage

499

Abstract

Load forecasting is a traditional research field of power system, under normal circumstance, there are great similarities between the similar days, but under the condition of special days and extreme weather, load prediction has some uncertainty. Extraction model for load characteristics of special days and extreme weather was proposed in this paper, coding strategy and genetic operation of traditional genetic algorithm were redefined in the model, the relational rules about relation between power load special days and extreme weather were extracted. At the same time, the credibility of these rules was proven by practice.

Keywords

encoding; genetic algorithms; knowledge acquisition; load forecasting; power systems; coding strategy; extreme weather; genetic algorithm; genetic operation; knowledge extraction; load forecasting; load prediction; power load; power system; special days; Data mining; Genetics; Humidity; Load forecasting; Load modeling; Power system modeling; Technology forecasting; Temperature; Weather forecasting; Wind speed; load forecasting; rules extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-4754-1

Electronic_ISBN

978-1-4244-4738-1

Type

conf

DOI

10.1109/ICICISYS.2009.5357793

Filename

5357793