Title :
Forecasting of a temporary row on the basis of the caterpillar method — Ssa
Author :
Minor, A.S. ; Polyakhov, N.D. ; Prikhodko, I.A. ; Vorobyova, E.A.
Author_Institution :
St.-Petersburg Electrotech. Univ. “LETI”, St. Petersburg, Russia
Abstract :
Based on the Visual representation of the results of the decomposition of the singular trajectory matrix time series that contains the data of power consumption for 28 days, the trend and the periodic component of the series. The accuracy of the prediction when you use the <;<;Caterpillar-SSA>> was 1.75 %.
Keywords :
forecasting theory; matrix algebra; signal representation; singular value decomposition; spectral analysis; time series; caterpillar-SSA method; periodic component; power consumption; singular spectrum analysis; singular trajectory matrix time series decomposition; temporary row forecasting; visual representation; Forecasting; Loading; Market research; Matrix decomposition; Power demand; Schedules; Trajectory; forecast; method “caterpillar-SSA; singular decomposition; time series;
Conference_Titel :
Soft Computing and Measurements (SCM), 2015 XVIII International Conference on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4673-6960-2
DOI :
10.1109/SCM.2015.7190439
