DocumentCode
477472
Title
The Model Based on Grey Theory and PSO for Electricity Consumption Forecasting
Author
Sun, Wei ; Yan, Yujing
Author_Institution
Dept. of Econ. Manage., North China Electr. Power Univ., Baoding
Volume
1
fYear
2008
fDate
20-22 Oct. 2008
Firstpage
152
Lastpage
156
Abstract
To improve the forecasting precision of electricity consumption, and content the demand of marketing, we establish the model by combining particle swarm optimization (PSO) with the improved grey theory. The method is simple, easy to do practice and its convergence rate is quick. It can find the overall optimal solution of problems in great probability, and can effectively overcome the shortage of the traditional grey theory. To prove the validity, this paper forecasts the electricity consumption in Bayannur region. The result shows that, the model has higher forecasting precision and extensive application.
Keywords
convergence; grey systems; load forecasting; particle swarm optimisation; power consumption; prediction theory; probability; convergence rate; electricity consumption forecasting; grey prediction model; grey theory model; marketing demand; particle swarm optimization; probability; Automation; Birds; Conference management; Content management; Economic forecasting; Energy consumption; Particle swarm optimization; Predictive models; Sun; Technology forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location
Hunan
Print_ISBN
978-0-7695-3357-5
Type
conf
DOI
10.1109/ICICTA.2008.40
Filename
4659462
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