DocumentCode :
541159
Title :
A method of collaborative multi-path load forecasting based on maximum entropy principle
Author :
Xiao, Jun ; Zhang, Xuan ; He, Lin ; Lin, Li-peng
Author_Institution :
Key Lab. of Power Syst. Simulation & Control of Minist. of Educ., Tianjin Univ., Tianjin, China
fYear :
2010
fDate :
13-16 Sept. 2010
Firstpage :
1
Lastpage :
5
Abstract :
This paper introduces synergetic theory and proposes multi-path load forecasting automatically coordinated approach based on the maximum entropy principle. Taking the expectation and second order central moment of forecasted results into account and using the maximum entropy principle,this synergetic load forecasting method receives the probability distribution function of the forecasted values and obtains the final high, middle and low forecasting scheme based on the probability theory. Case study has shown the model and method mentioned above can take the affection of the conflicts among different forecasting path into account in forecasting, resulting in higher precision of load forecasting.
Keywords :
load forecasting; maximum entropy methods; probability; collaborative multipath load forecasting; maximum entropy principle; probability distribution function; synergetic load forecasting method; Entropy; Equations; Forecasting; Helium; Load modeling; Mathematical model; Predictive models; Collaborative Multi-path; Load Forecasting; Maximum Entropy Principle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electricity Distribution (CICED), 2010 China International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4577-0066-8
Type :
conf
Filename :
5735858
Link To Document :
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