The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Bookmark and Share
Application of optimization SVM based on improved genetic algorithm in short-term wind speed prediction
Pages: 38-42
Year: Issue:  9
Journal: Relay

Keyword:  improved genetic algorithmshort-termwindspeed predictionparameter selectionadaptive updating;
Abstract: An improved genetic algorithm combined withniche algorithm and immune algorithm is proposed to solve the standardgenetic algorithm for prematurity and slow convergence rate.On one hand,vaccine is introduced to guide the generation ofinitial population, so the individual has some excellent gens which will reduce the optimal time, and an adaptive updating mechanism ofvaccine and parameterscope is proposed as the wind speed data renewed. On the other hand, niche genetic algorithm is adopted to keep thediversity of evolution population. Examples show that it is feasible to apply the proposed methodinshort-term wind speed prediction, with higherforecasting accuracy and convergence speed.
Related Articles
No related articles found